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Buyside Profile : Dan Nicholls : Hermes Investment Management

Dan Nicholls, Head of Trading, Hermes Investment Management
Dan Nicholls, Head of Trading, Hermes Investment Management

THE SUM OF THE PARTS.

Dan Nicholls, head of trading, Hermes Investment Management describes how the trading desk both meets the challenges as well as leverages the opportunities of today’s markets.

Dan Nicholls joined Hermes in July 2015 and is head of trading. After graduation, he joined Gerrard and National as a trader before moving, in the same role, to Odey Asset Management in 2001. Dan was head of trading at Buttonwood Capital for six years and then worked in a similar position for a sovereign wealth fund for four years. He studied Zoology at the University of Newcastle and Algorithmic Trading at Oxford University’s Saïd Business School.

How have changing geopolitical forces impacted the trading landscape?

Last year may have been the most volatile since 2015, when measuring intraday changes of 1% or more on the S&P 500. However, it is important to recognise the average level of the VIX was 18, below the historical average. Live monitoring of our trades allows for effective management of increased volatility, with limits often in place. We are long term fundamental investors and although volatility is viewed as a risk, it also presents opportunities to ‘lock in profit’ or reduce risk.

In the UK, the uncertainty around Brexit has forced firms to prepare for multiple outcomes. Market participants in both the UK and the EU are in varying stages of developing their no-deal Brexit contingency plans – but at present no one knows how it will play out. The application of the EU share trading obligation (STO) and any future UK STO remains one major concern. Some European managers are considering delegating portfolio management to their UK entities in order to retain access to UK venues. The granting of equivalence is a non-issue as share ownership and trading in European names is essentially 80% dominated by UK & US trading. Considering this, I think it is likely that we will be given equivalence. As such, ESMA have recently revised their previous guidance concerning constraints of the extraordinary circumstances of a no-deal Brexit. The EU27 trading obligation for shares (STO) would not be applied to the 14 GB ISINs included in its previous guidance

Is there one asset class that has been particularly challenging to trade?

The job of the trading desk is to look at the incremental gains we can add to the investor. However, given low interest rates, Hermes fixed income has diversified its asset class base further and launched the Hermes Unconstrained Credit Fund, which has led to credit options & ABS (asset backed securities) trading to help generate additional alpha. Although new, it has not been a difficulty given the levels of expertise and experience on the desk.

What has been the impact of MiFID II and were there any surprises?

MiFID II rules, such as unbundling, have been hugely beneficial for trading desks. Execution decisions are being made solely on performance and the brokerage community has been forced to improve their level of service. The selection of execution counterparties has also been impacted because traders are able to systematically route orders solely on trading performance, without considering research provision or relationships. Overall the buyside believes this has had a positive impact on alpha generation

In general, two of the main goals of MiFID II are at odds with one another: increasing lit trading versus providing best execution. If market structure changes do not lead to improved execution, new venues, strategies and even new asset classes will emerge. In that case the market could effectively side-line MiFID and current regulation will be ineffective.

How has liquidity changed under the rules?

Despite MiFID II’s stated objectives, there has been little additional flow to lit venues. The percentage of volume traded on primary exchanges dropped from 40% pre-MiFID to the current 31%. What we have seen is three notable changes since MiFID was launched – an increased use of periodic auctions – which remain attractive despite the lifting of caps; the development of ELP SIs, (electronic liquidity provider systematic internalisers) particularly for below LIS (large in scale) addressable flow and a shift of volume to closing auctions. The result is that the traders have to be equipped to source new opportunities for unique liquidity.

We have met with all the ELPs to better understand their liquidity and are also having on-going discussions with the exchanges to keep up to date with their innovations. It is key to know how you are interacting with liquidity sources in relatively large orders as we are seeking to limit signalling and market impact.

How has Hermes and the trading desk responded?

As there is a limit to the cost of keeping brokers on a list, there has been a reduction, albeit not massive, in the number of brokers being used. What has been more marked is a consolidation of flow which was reflected in the recent 2018 RTS 28 Reports (Top 5 Venues). We have shifted the focus of the desk towards areas which can add alpha and as a result we have increased the amount of low touch business that we execute. This allows the trader to concentrate on the high touch, hands-on execution and it also benefits the underlying Hermes clients given the lowered commission charges.

How does the explosion of data influence trading decisions?

MiFID II has created an explosion of data for analysis. Hermes has employed an internal, independent TCA Manager, who sits outside of the trading desk as part of the investment office. The data collection and processing has taken a long time but has led to an improvement in the quality of execution. For example, certain venues have been switched off.

We are able to identify our best as well as worst trades and then learn from our analysis. Data regarding trader behaviour, algorithms as well as brokers used, exchanges and venues accessed enables us to have conversations with the sellside about smart-order-routing logic. In some cases, issues we have identified, have led to the SOR altering its logic.

Is the trading desk multi asset and if so, what does that mean?

We have made a big push to create a multi asset trading desk. We have heads of fixed income, equities, FX and money markets. However, we now have a desk where every trader can trade at least two of the three areas. This has helped provide greater flexibility and reliability as well as cross asset knowledge sharing. For instance, correlation between stock movements and where the CDS (credit default swap) is trading can help improve execution.

You won best trading desk of the year – what is the secret of your success?

You are only as strong as your weakest link, which is why we have a strong emphasis on teamwork. People have to trust each other and the thought process behind trading decisions. We have a tight group of diverse individuals who altogether have over 100 years of combined experience. We also value the importance of relationships with the Street because we have to trust the people who we trade with, in order for both parties to be incentivised to look after one another. Internally our clients are our fund managers. We have to understand the way they are looking at securities and manage their expectations. There is constant dialogue with the fund managers to ensure we are all on the same page.

However, Hermes actively encourages career development and makes sure individuals have both practical experience in terms of shadowing respective asset class specialists, but also enhancing theoretical knowledge via professional exams. Each trader is required to take a relevant course or exam every year, ranging from the Fixed Income & Derivatives qualification, algorithmic equity courses to industry conferences.

What is your key driver and how is it measured?

Commitment to best execution. We describe our policy as a series of principles rather than a decision tree which would limit a trader who is trying to achieve best execution. We benchmark all of our trading activity with a pre-trade expectation in order for us to successfully compare this against the most relevant post trade benchmark for analysis. There is also a constant dialogue between the fund manager and the trading desk and the traders can add colour and help generate alpha.

 

©Best Execution 2019
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Derivatives focus : Retiring LIBOR : Gill Wadsworth

THE LONG GOODBYE.

In two years’, time, LIBOR is destined for the history books but it is not that straightforward. Gill Wadsworth reports.

The LIBOR scandal was one of the dirtiest to blight the financial services industry in recent memory. Manipulation of the sector’s ‘most important number’ saw bankers from some of the most well-known and respected institutions including – Deutsche Bank, Barclays, UBS, Rabobank, HSBC, Bank of America, Citigroup, JP Morgan Chase, the Bank of Tokyo Mitsubishi, Credit Suisse, Lloyds, WestLB, and the Royal Bank of Scotland – caught up in messy court cases in which some of the protagonists faced jail time.

The London Inter Bank Offered Rate (LIBOR) is now for the chop itself. No longer seen as a reliable universal borrowing rate, LIBOR is to be ditched in 2021. This all seems quite reasonable in practise since already low levels of trust in the financial system could not take a repeat of the 2012 debacle. However, transitioning out of LIBOR looks far from easy, which has serious implications for all traders, but most noticeably for those working in derivatives.

Joshua Roberts, associate director at financial risk adviser JCRA, describes the discontinuation of LIBOR as a “bigger risk to the industry than Brexit”. He adds, “replacing LIBOR is going to impact many different but interlinking areas [of financial services]. What may prove an optimal alternative to LIBOR for one derivatives trader, won’t be for others.”

It is a challenge that those working in derivatives need to tackle fast, but the problem lies in finding an alternative. The immediate response from some asset managers has been to move portfolios across to Sterling Overnight Interbank Average (SONIA) rate-based swaps; a decision Megan Butler, executive director of supervision at the Financial Conduct Authority, describes as a ‘smart play’.

 

Butler told assembled asset managers attending an Investment Association conference in February this year that it was “essential firms plan for a future in the absence of LIBOR”, and revealed that cash transactions supporting the calculation of SONIA average £50bn a day. This compares to the respective £187m and £87m that feed into the calculations of three and six-month sterling LIBOR a day.

Butler said “large floating rate bond issuers referencing SONIA, rather than LIBOR, have become commonplace,” adding that in the first two months of 2019 alone, there were 15 issues from banks, sovereigns, and supranationals totalling £8.7bn.

 

A credible substitute?

However, Roberts is unconvinced that SONIA, as yet, is a viable replacement for LIBOR. “Contracts made in the future can reference SONIA, but it is much harder to do that for existing contracts. SONIA’s derivative market is underdeveloped compared to LIBOR and it is published only as an overnight rate, rather than for a range of borrowing periods,” Roberts says.

He adds that SONIA rates are determined in arrears, a characteristic not well suited to a corporate treasurer who is trying to plan cash flows for the next quarter.

While these issues will likely be rectified as the market for overnight derivatives expands, Roberts believes the transition from LIBOR to any new rate will be troublesome. “In the case of swaps, the two parties will have to agree the new rate, but how will they decide how to compensate each other? Any decisions counterparties make will affect the whole market and there is a huge danger of the market becoming fractured,” he says.

Carl Carrie, head of product management for analytics at Refinitiv, agrees the shift away from LIBOR is difficult for derivatives traders, particularly those managing interest rate risk. “Interest rate traders are in the middle of the storm right now as they deal with reference rate reform, which is very vexing. They are adjusting for the cocktail of risks when moving to the overnight rate including value transfer and credit differences,” he adds.

Despite the complexities of transitioning away from LIBOR – and the obvious implications for derivatives – Roberts says regulators expect the market to come up with the solution.

Alongside the issue of LIBOR, derivatives traders must contend with the impact of what Max Verheijen, director, Financial Markets at Cardano, calls a “tsunami of regulation”, exacerbated by the uncertainties of Britain’s potential exit from the European Union.

“We are based in the Netherlands, but we have clients and counterparties in the UK. We operate under EU law, specifically MiFID II, and if the UK leaves the EU that causes some issues for us,” Verheijen says.

Like many asset managers operating across the EU, a large proportion of Cardano’s trades are conducted with banks based in the City of London. This has meant a hurried and major rewrite of agreements between Cardano and its trading counterparts, based on the assumption that the UK would depart the EU on March 29, 2019.

Verheijen says that in February the Dutch government extended an exemption to UK investment firms from requiring a Dutch license in the case of a no deal Brexit, which he describes as ‘helpful’. However, the reprieve is temporary and will expire in January 2021.

The incompatibility of MiFID with the emancipation of the EU from the UK also extends to reporting obligations.

Verheijen says Cardano trades exclusively with systematic internalisers, partly because they take on most of the reporting burden. However, should the UK leave the EU, Cardano’s London-based SI counterparties may no longer meet MiFID II’s regulations.

“If Brexit happens, UK banks might not qualify as SIs so we will have the burden of reporting trades. Most of the asset managers are not set up to do that,” he says.

Brexit aside, the MiFID II reporting requirements are proving a notable bugbear for European asset managers.

Verheijen says that 18 months on and MiFID II is “no walk in the park”, adding he has become frustrated with the reporting demands. “The detail from the reporting that is coming to market is not information; you don’t see charges or the depth of market. In short [reporting] did not add to liquidity or depth and [I’m] not convinced it makes markets more transparent,” he says.

A wide remit

Derivatives players are not restricted to reporting under MiFID II alone. The European Market Infrastructure Regulation (EMIR) demands all derivatives trades are reported; no mean feat for some players dealing with significant trading volumes. “The reporting demands under EMIR mean an awful lot of extra work and the rules across different regulations such as MiFIR, are not the same,” says David Nowell, senior regulatory reporting specialist at Kaizen Reporting, who adds that while he welcomes the European regulator’s desire to eradicate market abuse, the regulations can prove too onerous and may become even more so if the UK follows its own rules post-Brexit.

 

The formidable wall of regulation is certainly challenging to climb, yet there are positives in the derivatives space. Carrie says there is some “serious innovation” in the world of crypto derivatives and this will advance rapidly as the “financialization of the crypto markets” continues.

Moreover, despite wading through the reporting demands, Verheijen says liquidity is good in the swaps world and he is positive for the next 12 months. “The regulations have not killed the liquidity, and although derivatives are often referred to as weapons of mass destruction, if you use them in the right way, they are useful in transferring risk,” he adds.

Those in the derivatives world grudgingly accept their regulatory lot; the need to restore reputations must supersede the reporting headache. Yet should the UK end up pursuing a hard Brexit and the LIBOR transition is not resolved, the complications and confusions may make the legislative regime too much to bear.

 

©Best Execution 2019
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Data management : Leveraging technology : Heather McKenzie

THE ABCs OF DATA MANAGEMENT.

Data management has been a major theme for years but Heather McKenzie argues that many firms are still just laying the foundations.

Over the past few years, an array of regulations ranging from Basel III to MiFID II has occupied the minds of data professionals within financial services. At the same time, innovative technologies such as distributed ledger, artificial intelligence and machine learning have emerged. However, despite the many hours devoted to data management, some firms are still trying to get the basics right, with cutting-edge technology remaining a pipedream.

Andy Schmidt, a vice-president and global industry lead for retail banking at CGI, says the most important technology for any financial services firm when looking at data management is “a clean sheet of paper”. They should sketch out their requirements first. “Many projects fail because the proper expectations and hypotheses have not been set. Without these it is impossible to succeed,” he says.

There are four key areas that present challenges: data availability (where the data is), data quality, data accuracy and data sufficiency (does the data answer the question that is being asked?). The firms that do a better job are those that recognise that some of the data may reside outside of the organisation. However, until firms can get a grip on these issues, Schmidt says they won’t be able to benefit from the latest technologies such as real-time streaming data.

Chris Probert, partner and UK data practice lead at technology and management consultancy Capco, says much of the work firms did to meet regulatory requirements has been “relatively successful” and they are now ready to use these efforts as a foundation on which to add value. He advises that it is all about the data – “better data means better decisions.”

Probert identifies some significant themes in data technology: knowledge graphs, machine learning and ontology. Knowledge graphs are software tools that capture data and show how different data sets are related, how the data is being used and what changes are being made to the data and by whom. “The key thing to recognise about data in financial institutions is that people still don’t know what they have. There’s a big push now to ensure people are more connected with the data within their institution,” he says.

Taking a different slant

Machine learning is now being deployed in data management, particularly to handle the bias that all too often exists in data. Most organisations allow biases to creep into their definitions of data and the technology, along with artificial intelligence, can eliminate such prejudices. Ontology, which used to be considered “boring data science work”, is now of significance, says Probert. An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships between them. Connecting language to describe data items will be the bedrock of organisations coming to grips with legacy systems and data, he adds.

Not enough organisations regard data management as an enabler of data analytics, he continues: “Some 70% of data science is about wrangling data. Good data management should bring that percentage down.” Probert says there has been a pivot whereby some firms are now looking for extra value from the strategies they put in place to meet regulatory requirements. “Good data management will be a digital enabler, helping with analytics and customer retention. If you don’t control data, you cannot use it properly,” he says. Creating a single view of a customer across all siloed products using internal and external data, will help organisations to gain a fuller, richer view of their clients.

Ed Thomas, a principal analyst at Global Data, whose work is focused on AI, also highlights the issue of bias in data. If firms feed data into an AI system without being aware of the biases in the information, the results will not be as expected, he says. “Every piece of data has bias in it and that will be reflected in any outcome unless work has been done to mitigate the bias. That is fundamental to the success of AI.”

Many organisations will be unaware of the bias in their data; Amazon deployed an AI-based employment tool and fed in data it thought it had fully anonymised. However, the AI system could identify males and females based on their hobbies.

The ‘rubbish in, rubbish out’ axiom applies even to the most advanced of technologies. Thomas says financial services firms are beginning to understand that they need to prepare their data in order to get the most out of AI technologies. “The point was not always made in the past and there’s been a lot of hype around AI so people were keen to get moving on projects. It works both ways – AI-based tools will help you get more out of your data, but you need good data to begin with.”

Machine learning tools can also help make sense of that data. “This is a big job for any company,” says Thomas. “Data is often neglected and seen only as an IT problem. But it is increasingly seen as a business fundamental of vital importance. There is hard work to be done to maintain and catalogue data so a firm can get competitive advantage from AI technology.”

Thomas describes data as an “extremely valuable resource”, which needs to be utilised. When it comes to AI, ensuring success of any project is a data issue, not a product one. “AI is not a silver bullet; it needs to be fed and maintained,” he adds.

Andrew Kouloumbrides, CEO of Xceptor, says success in data management is “less about the technology and more about the data itself”. Financial firms want a single view of accurate, representative and timely data. Some firms have tackled this by creating a master data file, while others have been “more pragmatic” and developed strategies and architectures to cope with the multiplicity of data sources.

He adds, “Being able to get hold of the internal and external data is where AI and machine learning come in. About 80% of data within a financial institution is unstructured, and natural language processing and machine learning help firms to extract this data, transforming it in a way that makes it reusable and replicable and to get a better understanding of it.”

Coping with the past

One of the biggest challenges for financial firms, says Kouloumbrides, is the vast amount of legacy systems and data architectures. Many of the solutions have been “sticking plasters”, which now need to be removed. This can be done only with a detailed data strategy.

Such a strategy should consider the data requirements of end customers. “Many financial institutions are focused on what they need to do to make themselves more efficient from a data perspective. They are very inward-focused and haven’t really thought about the data requirements of their end customers.” Firms spend a great deal of time and cost in provisioning data to clients, only to face follow-up requests for further slicing and dicing of the data. “Not only is this an overhead, it is also a source of customer dissatisfaction. Clients are often unhappy with the data they receive.”

Firms must find a way to create a bridge between their clients and the representation of the data they provide, through approaches such as data lakes or data mining. This requires a move towards self-service tools, enabling clients to slice and dice the data the way they want.

There is some soul-searching in financial firms about how to, or whether to, monetise data, which Kouloumbrides describes as part of the core relationship with clients. There is a significant cost for financial firms in preparing data for clients and responding to follow-up requests. “To monetise this, a firm needs a strong data strategy that allows it to understand the data it is holding and to provide complete and accurate data in real time to clients.”

©Best Execution 2019
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Cybercrime : Contagion risks : Dan Barnes

BE ON YOUR GUARD.

Dan Barnes explains why trading firms must brace for cyber-attacks on counterparties.

What if the next ‘Lehman Brothers’ was not a credit but a cyber event? How well would capital market firms manage their exposure to a counterparty crippled by a technology attack? This scenario has been brought into clear focus by recent events, most notably the catastrophic impact of the ‘NotPetya’ virus*, which callously destroyed technology in major firms in 2017.

“Maersk losing all of its IT irrecoverably in a ‘NotPetya’ attack, and only recovering from back-ups, along with DLA Piper, WPP and a few others, has shocked financial services out of the assumption that a business can recover in a matter of time, to a realisation that in some kinds of attack you may not be able to recover,” says Nick Seaver, partner and lead for the EMEA Cyber Risk practice at Deloitte. “So, then what do you do?”

Cybercriminals have long targeted wholesale financial institutions. In 2004, the Sumitomo Mitsui Bank in London was attacked by criminals who used a USB stick with keylogging software to try and bypass security on the SWIFT interbank payment network in its London office, in an effort to transfer $220m to overseas accounts.

The threat has grown in the intervening period. In a white paper by SWIFT and security specialists BAE Systems, they warned: “There has been a significant evolution in the cyber threat facing the global financial industry over the last 18 months as adversaries have advanced their knowledge. They have deployed increasingly sophisticated means of circumventing individual controls within users’ local environments, and probed further into their systems to execute well-planned and finely orchestrated attacks.”

In recent years the SWIFT network itself has been targeted as a mechanism by hackers to remove funds from major banks in Eastern Europe, Asia and Latin America. The criminals or state actors responsible have been able to steal six-to-seven-figure sums in a single action, due to the wholesale nature of payments that SWIFT enables.

Awareness of the mechanisms used within corporate and investment banking to transfer assets is a serious threat for firms in major financial centres, as bad actors become increasingly sophisticated. In the 2004 Sumitomo heist, only errors in the format of their SWIFT messages stopped the success of the transfer. When the Bank of Bangladesh lost $81m to hackers in February 2016 its losses were contained due to typographical errors in several messages for other illegal transfers. However, the method – stolen security data to access the system – was effectively the same, using phishing attacks to remotely capture passwords and security information, rather than a USB with keylogging software.

However, while the attack in 2004 was linked to a range of criminal gangs in the UK, Israel and elsewhere, the SWIFT as well as NotPetya attacks have been linked by legal and intelligence agencies to state actors. The former was to a North Korean group by the US’s Federal Bureau of Investigation (FBI), while the latter was to Russia by the UK and US agencies. The Russian incident was crucially designed to sabotage, not to steal funds, and much of the harm was to firms who were not the intended target.

“The assumption until 2017 was that if someone big and bad comes after you, you have a problem, where actually with NotPetya, the firms that got whacked were collateral damage in a nation state attack,” Seaver says.

Better defences

Given the risks facing the industry, capital markets firms are reviewing their defences against attacks, both internal and external, and resilience in the event of an episode. The key weakness in the SWIFT attacks have been individuals who have been subject to ‘spear-phishing’ attacks; targeted efforts to get them to reveal security information. However, banks have also been targeted by ‘sleepers’, employees who are seeking to gain access to control functions with either a criminal or disruptive agenda.

“The prizes are so big; if a bank is clearing $1tn overnight and that goes down, markets are out the following day,” says James Stickland CEO of authentication platform Veridium. “If people are trying to create disruptive activity that is exactly what they want. They are willing to wait five years for that to get someone into the position of database administrator, for example.”

Another risk is the complexity of technology infrastructure. As new technology models are adopted this can potentially increase the risks that a firm is exposed to, by opening up or multiplying points of weakness.

Under MiFID II in Europe, the level of data being captured and stored in the front office has increased in volume and in importance, with individual traders identified in order to assess their execution choices. To manage the significantly greater levels of data firms are often using cloud-based platforms, while tools such as artificial intelligence are being tried in many areas of trading.

“One thing that materially changes proliferation [of risk] is multi-cloud, where typically a firm has multiple cloud providers along with some of its business running on proprietary systems,” says Alasdair Anderson, independent consultant and formerly head of big data at HSBC. “That can mean the ways you identify and manage users of the systems increase in number, and the more points of control for management and security, the greater the risk.”

Getting the right framework

For capital markets firms it is less likely to be the first line of defence which poses a risk, Anderson observes, as they do not see that much information. The second line of defence, risk and audit, sees more and is therefore a potentially greater weakness.

“Cyber risk wasn’t [historically] viewed as something that should have a heightened focus, but that has totally changed in the last six months,” says Stickland. “A lot of institutions are now focused on insider threat. There is a big swing towards people taking individual accountability as opposed to institutional accountability.”

To actually counter the risk is challenging. Technology plays a vital role in this and the risks posed by new trading technologies. Prevention efforts must try to eliminate weak points in the security framework, however they cannot be eliminated entirely.

“You can put controls and measures in place but inevitably you have to have some management of the individual, with implicit and explicit trust for that,” Anderson observes.

He notes that the three functions of risk, compliance and legal have to be well-aligned in order to make processes and systems designed to protect the bank function effectively.

“The real challenge is getting the risk, compliance and legal people to agree on a common framework of management that matches the business that you’re in. For all the tech controls in the world, if you cannot agree what should be done by a certain person in a certain job role, typically for a specific jurisdiction, then there is no way of applying a technology solution or control,” he says.

Furthermore, banks and asset managers have to assume that both they or a counterparty might be seriously hit by a cyber event and set up mechanisms to cope.

“Contagion is a big issue in a cyber event because, one, it is hard to measure what your counterparty’s cyber risk exposure is and two, in certain forms of cyberattack, it hits lots of people at the same time,” says Seaver.

This is leading firms to rethink how they approach business recovery, and in some cases looking at the model of passing on positions that central counterparties currently undertake in a credit event.

“What you deem critical in a business-as-usual disaster recovery scenario isn’t what you deem critical in an existential position; so for example your FX trading is business critical but if you are in an extinction scenario, you might give that to another bank to wind up your positions,” he says.

They are also looking at ways to get past such extinction events in order to mitigate the risk posed by a repeat of the NotPetya attack.

“In retail and capital markets, businesses are creating a third copy of critical data such as trading positions, liquidity positions and counterparties, so in the event of a catastrophic cyber incident they have the ability to know where they were,” says Seaver. “Building an immutable, asynchronous offline snapshot of really critical data has gone from being a theoretical idea to being investigated today.”

*Note: NotPetya refers to a malware cyber-attack unleashed in June 2017. It took its name from its resemblance to the ransomware Petya, a piece of criminal code that surfaced in early 2016 and extorted victims to pay for a key to unlock their files. Unlike ransomware, the NotPetya attack could not be reversed by paying a ransom and was entirely destructive in its purpose. It crippled multinational companies including Maersk, pharmaceutical giant Merck, FedEx’s European subsidiary TNT Express, French construction company Saint-Gobain, and manufacturer Reckitt Benckiser. The result was more than $10bn in total damages, according to a White House assessment.

©Best Execution 2019
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Trading : Outsourcing : Lynn Strongin Dodds

TRADING OUT OF THE BOX.

Outsourcing of trading has long been talked about but it has started to gain momentum. Lynn Strongin Dodds reports.

In the past, outsourcing the trading function was the preserve of the hedge fund community. Fast forward to today and the trend is gaining traction in mainstream circles with fund managers considering their options. There is of course no one-size-fits-all solution so the challenge is finding the right fit.

A recent study by consultancy Opimas predicts that by 2022, around 20% of investment managers with assets under management (AUM) greater than US$50bn will outsource at least some portion of their trading desks. While that may not sound like a big figure, it is significant given that historically buyside firms were loath to relinquish control of this activity. They were much happier to contract out back and middle office functions but over the past decade a confluence of factors has focused the collective mind on trading.

Thomas Castiel, head of dealing services at BNP Paribas Securities Services

This not only includes regulation and the increased compliance burden but also a steady march of assets from active to passive funds which is eating into fund managers’ margins. In addition, a separate study by Oliver Wyman reveals that globally, assets under management dropped around 6% last year compared to 2017, with just US$3 trillion of flows into the industry. This is the first time since 2008 that AUM and valuations of asset managers have dropped.

 

Asset owners are also evaluating their options for the first time. “They used to delegate their investment management to their asset managers but they are re-internalising and need to become better equipped,” says Thomas Castiel, head of dealing services at BNP Paribas Securities Services. “For many, even the larger firms, do not see the trading function as core.”

The MiFID II burden

In Europe, MiFID II has also caused a great deal of soul searching. The regulation has had a particular impact on the buyside because of the increased focus on best execution and compliance as well as surveillance costs, according to Octavio Marenzi, founder, CEO, and author of the Opimas report. “Asset managers are under pressure and commissions have been compressed,” he notes. “This has led buyside firms to look at their organisational structure and to evaluate how much value the trader is adding, especially as trading has become much more commoditised in the past five to 10 years. The cost savings will vary though, depending on the nature of the firm and type of assets they choose to outsource.”

For example, Opimas research shows that smaller and medium size funds with low turnover velocity in a particular asset class can whittle down operating expenses by outsourcing, although it can still be cheaper for larger funds to run their trading operations in-house. Execution quality can also vary. At the smaller end of the spectrum, firms could experience improvements of between 15 to 20 basis points per trade because they do not have the necessary scale to deploy highly professional traders and systems themselves. By contrast, their larger counterparts who have deep pockets and trading prowess, are unlikely to see any discernible enhancement by moving to an outsourced trading desk.

Gary Paulin, global head of integrated trading solutions at Northern Trust Capital Markets, also notes that quantifying cost savings is also difficult because the activity is still relatively new and it depends a lot on a fund’s size. He points to the Opimas study that estimates each buyside trader costs an asset manager at least US$500,000, and to Oliver Wyman which shows that firms can save 25% on the execution side compared to keeping it in house, and significantly more in a few cases.

“The rationale for outsourcing trading will differ between firms,” he adds. “One reason is that they want to remove the fixed costs of running a desk, such as the monitoring and compliance systems, as well as the people themselves. There are also the opportunity costs of not focusing on their core competencies as well as the transaction cost savings they can pass to the fund.”

While the depth and breadth of a firm will influence the outsourcing trading decisions, industry experts believe that should not be the only motivating factor. “I think it will appeal to small to medium sized firms that have assets up to US$75bn, but size is not the best way to judge whether a firm should outsource the dealing function,” says Clare Vincent-Silk, partner at consulting firm Sionic (formerly Catalyst). “It also depends on the asset class they are trading, locations where they have a dealing function and whether they want to outsource part of the dealing desk or one of the geographies where they do not have coverage.”

She adds, another issue to consider is where the dealing desk sits within the organisation. “For example, does it report to the chief operating officer and if that is the case, they are more likely to outsource.”

Take your pick

There are of course different models on offer ranging from the full range where trading is completely farmed out to a third party, to the so-called hybrid approach which was adopted by Hermes Investment Management seven years ago. It handed over trading of emerging markets and non-Japan Asia equities to CF Global. The fund manager retained its own in-house traders for all other instruments, including US and European equities and fixed-income products.

Opimas notes that this model is gaining traction particularly in cross-border activity, where the asset manager is below the critical scale, or finds it operationally difficult given time-zone differences. “It is an expensive proposition for fund managers to have desks everywhere and offer 24 hour coverage,” says Scott Chace, chief executive officer and managing partner at CF Global. “We also have funds give us the harder trades, or they use us because they want an alternative way to execute trades in an unbiased and anonymous manner while disguising their footprint in the marketplace.”

Given the growth prospects it is no wonder that the number of providers continues to mushroom. In fact, the buyside is spoilt for choice with the Opimas report showing that they hail from all walks of financial service life – agency brokers, custodians, investment banks, as well as asset managers, that make their own trading desks available to their compatriots.

Surprisingly perhaps, a large number of firms are based in Paris including Amundi, a subsidiary of Crédit Agricole and Societe Generale created to regroup their asset management operations, BNP Paribas and Exoé. They tend to focus more on fixed income trading due to the dominance of money market mutual funds in the French asset management arena. The trading of equities is the asset class of choice to outsource in the US and Europe.

Regardless of the location or asset class, buyside firms should do their homework before choosing an outsourcing provider. The basic checklist should include corporate structure, whether it is independent or part of a larger broker-dealer, and the breadth of trading tools and services that they offer. “One of the challenges is that asset managers have to ask the right questions,” says Andrew Walton, head of European business at Tourmaline Europe. “They have to understand the different propositions on the market and the differences between services being offered, for example, by an agency broker or custodian, from a prime broker and the conflicts of interest that may exist.”

Asset managers should also look at the activity in context. “The outsourcing of the trading function is part of a larger discussion about outsourcing in general,” says Castiel. “The challenges for clients are to think about their own internal models, what is core, what they want to focus on and what they want to externalise across the front, middle and back office.”

 

©Best Execution 2019
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Viewpoint : OMS/EMS : Umberto Menconi

THE FUTURE FINANCIAL NETWORK?

Umberto Menconi, Head of Digital Markets Structure, Market HUB at Banca IMI investigates the rise of the EMS and asks whether we are seeing the development of the first global financial network link.

Umberto Menconi, Banca IMI

Order Management Systems (OMS) are well established, but the rise of Execution Management Systems (EMS), and their integration, is changing the face of trading. Until fairly recently, EMSs could accurately have been described as “software applications utilised by institutional tradersdesigned to display market dataand provide seamless and fast access to trading destinations for the purpose of transacting orders. They contain broker-provided and independent algorithms, global market data and technology that can help predict certain market conditions. One of the important features of EMSs is that they can manage orders across multiple trading destinations such as stock exchanges,stock brokerage firms, crossing networksand electronic communication networks.”

However, while that description was probably true in the past, more recently EMSs have added more technical functionalities and broadly extended their application to other products like fixed income and foreign exchange (FX), as buyside traders’ strategies have become more multi-asset in approach. As a result, the technology is changing rapidly.

In a new holistic approach, EMSs can currently offer, to varying degrees, a fully multi-asset integrated, intelligent, flexible, highly configurable, reliable, scalable and comprehensive open architecture proposition to allow multi-markets fast access, and to support, in the same configuration, data aggregation and management, risk analytics, alpha trading strategies and compliance needs.

One of the first, and main, drivers of EMS success was the attempt to avoid market fragmentation and its negative effect on market liquidity and best execution, as well as to offer a solution to the sharp increase in the complexity of markets protocols. The uptake is growing, but the reasons are changing. Recent research by Greenwich Associates said that buyside firms spent over US$1 billion on OMS and EMS in 2018, primarily driven by fixed income desks where EMSs did not exist previously, and where significant voice execution still exists. This is a huge amount of money and represents a clear trend in financial markets and indicates the growing strategic impact that EMSs can bring.

The implementation of MiFID II also plays a role in the demand for additional services, with buyside firms under the combined and increasing pressure of regulators, tighter margins and cost cutting. Regulations – particularly those concerning trade and transaction reporting requirements, and increased operational compliance – are causing buyside firms to reassess the systems and procedures they have in place. Tighter capital constraints on financial participants increase the demand for a ‘one-stop shop’ single solution, providing greater operational efficiency, risk management, reporting, analysis and audit tools all-in. To be compliant with MiFID II represents the new battleground in the competition to develop the most effective EMS.

There are still issues affecting the EMS space – such as the lack of accessible data or technological hurdles – but things are changing. The emergence of new assets, the increasing breadth and variety of customer demand, portfolio diversification, and competition between new entrants and new fintech solutions are all driving the emergence of new solutions.

Two possible solutions which can be adopted by the buyside are:

  • An internal EMS solution: this solution is available only for firms that have the resources to not only build the EMS but develop the necessary in-house trading technology in order to implement changes in reaction to market developments or requests for new functionality.
  • A third-party, outsourced EMS solution: the advantage of this solution is flexibility and scalability. Technological upgrades, and ongoing integration with multiple platforms and markets, can all be supported.

In today’s cost-cutting environment, such is the expense of continuous maintenance and development, that the outsourced option is looking much more attractive.

One major trend, that we are currently active in, is the acquisition of external EMS solutions by financial counterparties, as is happening in the fintech space. The acquisition of Charles River by State Street Global Advisors and of Triton by Virtu Financial have been pursued with the aim to complete their commercial proposition, leverage their financial markets strength and compete with BlackRock’s Aladdin.

According to recent market surveys, EMS key elements are:

  • Pre-trade decision support capabilities
  • Low latency Direct Market Access (DMA), Internalisation and Smart Order Router (SOR)
  • Multi-asset and multi-market fully STP (straight-through processing) order management and routing
  • Algorithmic trading, portfolio analysis and automated hedging
  • Brokers ranking
  • Full depth of market data analytics and monitoring
  • Post-trade reporting, compliance solutions and risk management applications
  • Real-time P&L tracking and historic analysis
  • High and scalable open architecture, integrated with internal systems

One of the new elements introduced into EMS frameworks is the opening-up of a chat function, fully embedded to negotiate on a bilateral basis in competition with multiple automated RFQs and to monitor the voice-executed flow together with electronic flow.

The significant change in the fixed income markets that has accompanied electronification is the rise of non-traditional liquidity providers – which currently hold the majority of bonds – to take on a more central role in the formation of prices. This change was accompanied, and accelerated, by the migration of technology from the sellside to the buyside – specifically with regard to price-engines – and by the new reality associated with price discovery and price formation, which are particularly challenging for block-size trading as sellside inventories are shrinking. Several EMS solutions allow buyside traders access to market-making functionalities, trading strategy and arbitrage logics.

Since its inception as a quality-of-service tool, designed to enhance client relationships and prove best execution under MiFID, TCA functionality has increased both in its distribution and technology. While TCA tools are widely used in other asset classes, in the fixed income marketplace it is still a relatively recent phenomenon, encouraged by the increasing amount of pre- and post-trade data which started to become available after January 2018. The increasing sophistication of an EMS is facilitating the progress of embedded TCA systems. If traders can have access to real-time counterparty breakdowns in the EMS, this can rank brokers and ensure the highest possible quality of the execution while minimising costs.

In this new landscape, many buyside desks are wrestling with the decision whether to keep the OMS and EMS as two separate best-of-breed systems, or switch to a single unified platform known as the OEMS.

The new OEMS framework can play a significant role as a privileged gateway for sellside versus buyside and for buyside versus sellside and markets/platforms, to create a first global financial network link. On one side, the sellside needs to interact with buyside EMSs more and more frequently, while on the other side EMSs can provide the buyside with the tools to successfully access market liquidity and execution services, and to measure sellside performance, with the aim to achieve best execution for the end users.

©Best Execution 2019
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Buyside focus : Crypto-assets : Jannah Patchay

TAKING THE LID OFF CRYPTO.

Jannah Patchay delves into the world of cryptocurrencies and how it is progressing.

In the future, financial historians may well look back on 2019 as the year in which crypto-assets went mainstream in Europe, if not the world, in the context of being taken seriously by regulators as financial participants including investors and market infrastructure providers.

This is the year in which Switzerland’s SIX Exchange announced its plans to issue security tokens on its imminent blockchain-based SIX Digital Exchange, while the London Stock Exchange, one of the world’s oldest and most venerable examples of its type, played a key role in the UK’s first tokenised primary equity issuance process.

Both the Financial Conduct Authority (FCA) and European Securities Markets Authority (ESMA) have identified three broad categories of crypto-assets. First are exchange tokens, used as a means of exchange, including cryptocurrencies. Second are security tokens, which confer an equity stake, represent a debt or a return based on future income. And, last are utility tokens, which are not necessarily transferable outside of the application or platform whose functioning they enable.

Many financial institutions see value only in security tokens, although it’s worth noting that there are also valid use-cases for exchange and utility tokens even if it is confined to the traditional asset management sector. However, security token offerings (STOs) are grabbing the limelight because they are seen as the more legitimate, regulated sibling of initial coin offerings (ICOs). They offer a host of potential opportunities and benefits to both issuers and investors.

Avtar Sehra, CEO of Nivaura, a firm specialising in the automation of both traditional and tokenised primary issuance processes, says “Just like the world is moving to a cashless society, it’s also moving to a document-less society. Financial instruments are not documents – the documents contain information on what the instrument is, what the terms and conditions are, and how these can be legally enforced.”

He adds, “this information can just as easily be digitised – the contract should still be standalone and enforceable. This is essentially what we do – we say that if you get that right, then the performance of the contract can happen via a traditional clearing system or on the blockchain, it doesn’t matter.”

20:30, the firm that recently tokenised its own primary equity issuance, sees tokenisation and the associated automation as creating greater efficiencies and cheap, fast access to markets for issuers. Ubiquity is their goal, and it is an inevitable one, according to Jack Thornborough, 20:30’s Chief Compliance Officer. “We’re first working with equity but then we are looking at other financial instruments as well,” he adds. “We have a clear vision of how our offering will be built out – using smart contract technology in the future to support lifecycle events and corporate actions. That means working with fiduciary service providers and law firms to determine how this will all work and what legal documentation is needed to support it.”

Overcoming hurdles

There are, however, obstacles in the path to ubiquity. Not only does full tokenisation of primary equity issuances face legal barriers, but there are also challenges to liquidity in secondary markets trading. Specifically, the European Union’s Central Securities Depositary Regulation (CSDR) mandates that securities that are admitted to trading on an MTF or OTF must be registered with a CSD. At present, the inability of any to demonstrate control over blockchain-registered tokenised securities means that no CSD will undertake this activity.

As a result, there is currently no capability for security tokens to be traded on a regulated secondary market trading venue. They can be traded OTC, but the lack of venue trading inhibits liquidity and price discovery; both blockers to greater institutional take-up of these assets. As in many other cases, collaboration between market participants is key to overcoming these challenges.

“This is why the work that Nivaura is doing in the 5th FCA Sandbox cohort is so important,” says Stuart Davis of Latham & Watkins, a law firm which is advising on this project. “By partnering with a CSD and a leading exchange, Nivaura will demonstrate for the first time that a digital equity security can be traded on an EU trading venue in a manner which fully-compliant with CSDR.”

In the shadows

By contrast, exchange and utility tokens have garnered less attention and interest from the institutional sector, partly due to the perceived taint associated with Bitcoin and its fellow cryptocurrencies. Moreover, there is also a view that this is an unregulated sector or a kind of wild west frontier. Many market participants such as Obi Nwosu, CEO of Coinfloor, a voluntarily-compliant cryptocurrency exchange offering trading in Bitcoin and Ethereum to fiat currency pairs, baulk at this stance.

He notes that “there are three main blockers to more wholesale institutional adoption of crypto as an asset class: volatility, regulation and availability of products. Volatility will decline as more institutional investors enter the market. Regulatory certainty will help drive innovation and product development. There aren’t currently many product offerings available to either retail or institutional investors that are sophisticated, well-structured to meet client demands and requirements, and that are easy to access.”

Nwosu believes that as long as there is sufficient demand and supply, then “the number one-use case for Bitcoin and other cryptocurrencies is as a speculative asset, due to intrinsic properties that make them an exceptional store of value.” He foresees a future in which an ecosystem of products and services develops around cryptocurrencies, both legitimising them as a viable asset class, and attracting a greater range of investors.

 

George Zarya, CEO of BeQuant, a crypto-asset exchange and prime broker aimed squarely at the professional and institutional market, is working hard to make this vision a reality by trying to bridge the gap between the traditional financial markets and crypto-assets. “The crypto market is still very fragmented, and as a prime broker we offer a one-stop solution to institutional investors,” he says, adding the company works with exchanges to build out FIX connectivity, and offers services in the post-trade space. In the future, it hopes offer algorithmic execution tools.

Although there has been a lot of hype in the industry, three things have become increasingly apparent over the past year. Firstly, a lack of legal and regulatory clarity creates barriers not only to wider demand-side adoption by institutional investors, but also supply-side barriers to the firms that want to launch new products and services. Secondly, that even where there is a clear legal and regulatory position, the constructs of the existing legislation are not necessarily relevant to digital tokens. This creates unnecessary layers of indirection and intermediation in this nascent market structure. Last, but certainly not least, the market structure developing around crypto-assets is not so very different, after all, from that of traditional financial markets.

©Best Execution 2019
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Viewpoint : Futures market evolution : Andy Ross

COMPETITION STIMULATES FUTURES INNOVATION.

In nature, evolution happens at a glacial pace. Change is incremental, barely perceptible from one generation to the next. Market evolution, on the other hand, is an entirely different beast, with transformational shift sometimes occurring at lightning speed – but apparently not in all markets, as Andy Ross, CEO of CurveGlobal, explains.

Futures – the exception?

There’s no question that futures trading has come a long way, from the world of manual, pit-based trading with its open outcry and reliance on paper ticket audit trails, to today’s highly automated, systematised digital markets with their efficient STP.

In all other industries this level of automation has resulted in higher output, increased productivity and lower costs. Futures have certainly benefited from automation with resultant higher volumes – but costs have not gone down.

The reason for the higher total cost of trading futures is not strictly related to production costs, complexity or regulation but might also be the result of limited competition in the market. Traditionally, participants have had no option but to trade futures in the way they’re directed by incumbent operators of so-called vertical silo models.

CurveGlobal doesn’t share that philosophy. Not only do we offer our customers lower trading and clearing fees, we also make our market data freely available – an essential component of trading in today’s automated world.

Competition benefits the market

You don’t have to look too hard to see how competition has benefited participants in the FX, cash equity and OTC swap markets – tighter spreads, lower transaction fees and, most importantly, multiple ways of trading that suit the size of your position, time of trade or execution risk. But could this be adapted for futures markets, with the introduction of new, innovative products and alternative ways to trade? Or would it just fragment liquidity?

Competition in the futures markets isn’t a zero-sum game. Futures markets globally benefit from competition. Without competition, price quality and best execution usually deteriorate. In other words, participants need to be able to take advantage of all competing trading platforms – and not just one – if they are to achieve best execution.

 

 

How? Ask SONIA

A great example of competition increasing choice and liquidity is the Sterling Overnight Index Average, or SONIA, futures market. At least three major platforms offer competing contracts with their own unique characteristics. With LIBOR underpinning an estimated US$ 350 trillion in financial contracts, the transition away from the interest rate benchmark to the new risk-free rate, SONIA, by the FCA’s 2021 deadline is one of the greatest challenges facing the industry. The ability to hedge risk effectively is of paramount importance for ensuring a smooth, orderly transition away from LIBOR.

Is the market responding? It is vital that participants have access to a liquid and active futures market, which in all cases needs to align with regulatory requirements while supporting choice and enabling best execution. Just over a year since the launch of the Bank of England’s reformed SONIA rate, momentum is building and growing support from market participants is stimulating competition. This has prompted the development, for example, of fully implied inter-commodity spread functionality between three month SONIA and three month Sterling futures, making it possible to trade the two contracts simultaneously as a package, with no legging risk – crucial in the transition from LIBOR to SONIA.

As the SONIA market develops, we can also expect to see the introduction of additional SONIA futures contracts that will enable participants to trade shape in the SONIA curve – further supporting the migration from LIBOR to SONIA, and helping in the transition from a low rate environment to one in the future that’s likely to be characterised by higher rates.

It’s all about the customers

Although it’s taken time, we’re now seeing signs of healthy competition and choice in the marketplace – with different venues appealing to different segments of the market and their specific requirements. And while competition means that things might not always go our way – it always benefits our customers.

©Best Execution 2019
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Viewpoint : Technology outsourcing : Peter Hainz

A CLOUD WITH A SILVER LINING.

Buyside firms are looking to move back office applications to the cloud. Peter Hainz of SmartStream examines the driving forces behind this trend.

Interest in cloud adoption is growing across the buyside, with firms turning to the cloud in the hunt for innovative, scalable solutions that will allow them to update legacy infrastructure and reduce the total cost of technology ownership.

The buyside faces a variety of pressures. Growing transaction volumes create headaches for large asset managers while smaller companies, although processing fewer transactions, must shoulder burdensome infrastructure and maintenance costs to keep up service levels. Greater regulation and unpredictable markets have increased costs per trade and transaction, while budgetary constraints keep IT headcount flat.
Responding to industry feedback, SmartStream offers cloud-based support and management for its applications. To provide maximum flexibility, we have created a tiered, three-stage process. The first stage sees SmartStream maintain a client’s applications from an IT perspective. If required, clients can progress to a second step, with SmartStream taking on IT change management. To further drive down overheads, some firms move beyond pure cloud services to a third level, full business process outsourcing. This involves us managing technology and operations, e.g. end-to-end processing, management oversight, business continuity, as well as risk control and analytics (which could, potentially, be supported with AI tools).

Reducing overheads
A major factor propelling the move towards the cloud is the need to reduce costs. Asset managers are eager to outsource operations that provide no competitive advantage: shifting applications to the cloud, to be maintained by vendors, enables firms to cut overheads and focus on core strengths.

Companies hope to reduce TCO. As one leading asset manager remarked, “We are looking at lowering the total cost of ownership of our back office applications by moving them to the cloud”. Overheads are minimised as no hardware is required, nor are software licences needed. Software and hardware upgrades are performed by the vendor, while support and user training costs are brought down, too.
Where such services are offered on a transaction volume-based model, improved budgetary control can be achieved. The cost structure can be treated as part of the operational budget, which financial institutions prefer to up-front capital expenditure. The model can also be scaled up and down to suit business requirements and budgetary pressures. For example, a large asset management company, following the acquisition of a smaller firm, found that transaction volumes had increased heavily and could not be handled with existing technology. With our assistance, the company moved to a hybrid strategy, managing part of the volume on premise, part in the cloud. Once the benefits of the cloud-based approach became apparent, the asset manager shifted processing there entirely.

A rapid, cost-effective route to adopting new technology
Buyside organisations want to upgrade their technology but are keen to avoid lengthy, expensive implementations. The cloud provides a quick, cost-effective adoption route. Clients are live within weeks, while dependence on in-house staff for hardware set-up, software installation, configuration, training and maintenance is reduced, or even eliminated.

Harnessing the power of data: AI analytics & MI dashboards
Generating profits using current analytical capabilities is a tough call for the buyside, due its small back office and the unpredictability of today’s markets. The cloud offers a way forward, however. Its scalability and flexible storage capacity make it an excellent platform from which to analyse data. AI analytics can be run on large amounts of information to provide business insights and increase competitiveness. In the case of transactions management, AI may potentially support firms to achieve faster data loading and exception management.

Financial institutions want to trade more efficiently and are interested in measurable outcomes that can be tracked via management dashboards. Building the tools to gather such business intelligence is time-consuming and hard to achieve in-house. SmartStream has developed MI dashboards as part of its cloud offering. These can be used to analyse trades, e.g. to monitor manual rates, automated matching rates, and STP rates.

Regulatory approval of cloud-based services
Changing attitudes on the part of regulators are also playing a role in encouraging cloud adoption by the financial sector. De Nederlandsche Bank (DNB), the Netherlands’ national banking regulator, was one of the driving forces in Europe that enacted legislation permitting financial institutions to use cloud-based services. FINMA has allowed the use of cloud-based services in Switzerland, too.

Security and data protection
Intensifying regulatory oversight and ever-expanding reporting obligations are driving cloud adoption, too. Firms must pay careful attention to security, though. A vendor’s platform hosting environment must comply with the highest standards of information security management, including ISO 27001 and SOC2. Regulators insist that cloud data protection and security practices are regularly certified by auditors to verify that the solution is fully compliant.

Smarter use of resources, up-to-date applications & operational excellence
Financial institutions spend a great deal of time on manually intensive, on-premise tasks, such as manual matching. If a SaaS platform solution is managed by the vendor, valuable in-house resources are freed up to concentrate on strategic projects.

Smaller buyside firms often have only one person running an application and difficulties arise if that individual moves job or retires. Where an application is run by a software provider, this worry is removed.
Taking care of upgrades binds in-house resources. Putting applications into the cloud, where they can be managed by the vendor, alleviates this. The vendor will also ensure that applications are running on the latest version and are kept up to date with security and other patches.

And then there is the question of operational excellence. After all, who can better operate and maintain an application than the people who built it? Vendors often guarantee industry best practices in relation to monitoring back-up, archives and other housekeeping tasks for their applications.

Other considerations: green finance
When an application is supported remotely in the cloud, travel is reduced, lowering greenhouse gases. With concerns over climate change heightening – for example, at the German Central Bank Bundesbank Symposium 2018 the key focus was ‘green finance and climate change’ – this aspect is likely to grow in importance.

Blockchain in the cloud
Financial institutions are building consortiums to develop blockchain applications. Thanks to its scalability, the cloud is a great place for blockchain services. For example, Amazon Web Services (AWS) opted for blockchain, announcing distributed ledger services.

Business continuity
The cloud often provides superior business continuity and disaster recovery technologies to on-premise solutions. One reason for this is that cloud computing relies heavily on hardware independent virtualisation technology, another is that cloud services (e.g. AWS) are redundant in different availability zones.

In conclusion
As a recent SmartStream customer conference highlighted, there is considerable interest in, and acceptance of, cloud strategies across the financial industry. Regulators’ attitudes to cloud adoption are increasingly positive, while there is also greater reassurance as to security. Now, the author believes, is a better time than ever to make a move to the cloud.

©Best Execution 2019
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Video: CEO Of The Year, Azila Abdul Aziz


Interview with the CEO of the Year Winner: Azila Abdul Aziz of Kenanga Futures.

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