Collateral in 2020: Driving Optimization in an Evolving Ecosystem

In this Global Investor Group Special Report, Collateral in 2020, Bimal Kadikar outlines the steps firms can take to optimise collateral at an enterprise-wide level and explains how a connected collateral ecosystem can be utilised to inform decision-making.

“Forward-looking firms have recognised that optimising collateral and liquidity across an enterprise, as well as within business areas, can drive efficiencies and deliver wider strategic benefits.”

Access Global Investor Group’s full report: Collateral in 2020 – Driving optimisation in an evolving ecosystem.

Finadium report on ISDA’s Common Domain Model and the Digitization of Collateral

Finadium recently spoke to Bimal Kadikar, CEO of Transcend, regarding the adoption of ISDA’s Common Domain Model (CDM) by market participants. Finadium’s new report, published by Josh Galper, Managing Principal, evaluates the role of CDM to solve business problems for collateralized trading markets and its potential to standardize data elements across the derivatives lifecycle. Bimal commented on the pace of industry adoption:  

“Firms can migrate to CDM on their own schedules. It’s not like blockchain where the entire industry may need to switch over at the same time. Firms can also pick parts of CDM when they are ready for digitization at different points. This will help firms take advantage.” 

Access Finadium’s full report: The Common Domain Model: A Kickoff for Digitization in Collateral at Last?

In five years, 90% of funding will be done by machines

You may disagree with the number of years or the percent, but everyone understands that automation in the funding and collateral space is occurring at a fast pace. The question is how you prepare for this inevitable future? Our view is that connecting data from disparate sources is the key to the next evolution in the funding markets. A guest post from Transcend.

Who in the capital markets industry isn’t seeking greater profitability or returns? From balance sheet pressures and competitive dynamics to more resources to comply with regulation, focusing on transformative change to advance the firm has been a huge challenge. At the same time, technology is evolving at a rapid pace and the availability of structured and unstructured data is presenting a whole new level of opportunities. For firms to realize this opportunity, connecting disparate data and adopting smart algorithms across the institution are a critical part of any strategy.

Advances in technology have allowed data to be captured and presented to traders, credit, regulators, and operations. But right now, most data are fragmented, looking more like spaghetti than a coherent picture of activity across the organization. Individual extracts exist that sometimes cross silos, but more often cannot be reconciled across sources or users. To be effective, data needs to flow from the original sources and be readable by each system in a fully automated way. It does not matter if individual systems are old or new, in the cloud or behind firewalls, from vendor packages or in-house technology: they all have to work together. We call this connected data.

Businesses have understood for some time that this will require growth of automation, which will be a critical driver of success. Banks and asset managers know that they have to do something: doing nothing is no option at all. Machine learning and artificial intelligence are part of the solution, and firms have embarked on projects large and small to enable automation under watchful human eyes. The new element to consider in the pace of change is the ability of machines to connect, process and analyze data within technology platforms for exposure management, regulatory reporting and pricing. The more data that feeds into technology on the funding desk, the more that automated decision-making can occur.

While individual systems and silos can succeed on their own, a robust and integrated data management process brings the pieces together and enables the kinds of decision-making that today can only be performed by senior finance and risk managers. Connected data is therefore possibly the most important link between automation and profitability. It is a daunting task to consider major changes to all systems that are in play, but most firms are adopting a strategy to build a centralized platform that brings data from multiple businesses and sources. A key benefit of this strategy is that advances in technology and algorithms can be applied to this platform, enabling multiple businesses or potentially the whole enterprise to benefit from this investment.

The risk of inaction

Connected data can stake its claim as the new, most competitive advantage in the markets. Like algorithmic trading and straight-through processing, which were once novelties and are now taken for granted, the build-out of a connected data architecture combined with the tools to analyze data will initially provide some firms with an important strategic advantage in cost and profitability management.

With all the talk about data, there is an important human element to what inaction means. In a data-driven, technology-led world, having more or all the right people will not stop a firm from being left behind, and in fact may become a strategic disadvantage. The value of automation is to identify a trade opportunity based on its characteristics, the firm’s capital and the current balance sheet profile. Humans cannot see this flow with the same speed as a computer, and cannot make as fast a decision on whether the trade is profitable from a funding and liquidity perspective. While the classic picture of a trader shouting across a room to check whether a trade is profitable makes for a good movie scene, it is unwieldy in the current environment. A competitor with connected data in place can make that decision in a fraction of the time and execute the trade before the slower firm has brought the trade to enough decision-makers to move forward.

The competitive race towards connected data means that firms with more headcount will see higher costs and less productivity. As firms with efficient and automated funding decision tools employ new processes for decision-making, they will gain a competitive advantage due to cost management, and could even drive spread compression in the funding space. This will put additional pressure on firms that have stood still, and is the true danger of inaction at this time.

Action items for connected data

Data is only as good as the reason for using it. Firms must embark on connecting their data with an understanding of what the data are for, also called foundational functionality. This is the initial building block for what can later become a well-developed real-time data infrastructure.

Each transaction has three elements: a depository ladder for tracking movements by settlement locations; a legal entity or trading desk ladder; and a cash ladder. Each of these contain critical information for connecting data across the organization. If your firm has a cross-business view of fixed income, equities and derivatives on a global basis, then you are due a vacation. We have not yet seen this work completed by any firm, however, and expect that this will be a major focus for banks through 2019 and 2020.

Ultimately, an advanced data infrastructure must provide and connect many types of data in real-time, such as referential data, market data, transactions and positions. “Unstructured” data, such as agreements and terms, capital and liquidity constraints, and risk limits, must also be available more broadly for better decision-making, despite their tendency to be created in some specific silo. But an important early step is ensuring visibility into global, real-time inventory across desks, businesses, settlement systems and transaction types; this is critical to optimize collateral management. Access to accurate data can increase internalization and reduce fails, cutting costs and operational RWA. This is especially important for businesses that have decoupled their inventory management functionality over time, for example, OTC derivatives, prime brokerage and securities financing. Likewise, the ability to access remote pools of high-quality assets, whether for balance sheet or lending purposes, can have direct P&L impacts.

Step two is the development of rules-based models to establish the information flows that are critical to connecting data across a firm and simultaneously optimizing businesses on a book, business entity, and firm levels. The system must understand a firm’s flows and what variables they need to monitor and control within a business line and across the firm. Data will push in both directions, for example to and from regulatory compliance databases or between settlement systems and a trader’s position monitors. Rules-based systems simplify and focus on what is otherwise a very complex set of inter-related and overlapping priorities (see Exhibit 1).

Connected data can enable significant improvements such as:

  • Regulatory models can be fed on a real-time pre-trade “what-if scenario” so businesses can know how much a particular trade absorbs in terms of capital, liquidity or balance sheet for the given return, or if a trade is balance sheet-, capital- or margin-reducing.
  • Data can feed analytics that tells a trader, salesperson, manager or any stakeholder what kind of trades they should focus on in order to keep within their risk limits, with information on a granular client level.
  • XVA desks, the groups often charged with balancing out a firm’s risk and capital, can not only be looped in but push information back to a trader in real-time so they can know the impact of a trade.
  • Systems that track master agreements can be linked and analytics can point toward the most efficient agreement to use for a given trade.
  • Trading and settlement systems can interface with market utilities, both backward and forward.
  • Transfer pricing tools can be built into the system core and be transparent to all stakeholders with near instantaneous speed, at scale.

Transcend’s recent experience with some of the top global banks shows the value of consolidating data into one infrastructure. We are connecting front- and back-office to market infrastructure and providing information in a dashboard, in real-time. As trades book on the depository ladder, key stakeholders can see the change in their dashboard application and can make decisions on funding manually or feedback new parameters to pricing models across the enterprise. The same transaction and positions affect the real-time inventory view from legal entity or customer perspectives as well as driving cash and liquidity management decisions. Over time, as banks get more comfortable with their data management tools, parts of decision-making that follow specific rules can be automated. This will be an excellent deployment of the new data framework.

Betting on the time or the percent

As machine learning and AI advance, and connected data becomes more of a reality, technology platforms will learn how to efficiently mine and analyze data to understand if a trade satisfies institutional regulatory, credit, balance sheet, liquidity, and profitability hurdles. This will lead to an environment where a trade inquiry comes in electronically, is accepted or rejected, and processed automatically through the institution’s systems. The steps in this process are methodical, and there is nothing outside of what financial institutions do today that would prevent execution. A reduction in manual intervention can allow traders to focus on what is important: working on the most complex transactions to turn data into information and action.

The fact that more automation is occurring in funding markets is certain. The question at this time is how long will it take to automate most of the business. This is a bet on the timeline or the percent to which funding decisions can be automated but not the direction of the trend line. Could it be as much as 90% in five years? Answers will vary by the firm and some of the major players are already developing strategies to progress in this direction. Typically, people overestimate the impact of a new technology in the short term, but underestimate the impact in the long term. Banks have already invested in machine learning and AI tools to make automated funding a reality. But it will depend on the next and more complex step: to ensure that connected data can reach these tools, allowing for a robust view of positions, regulatory metrics and profitability requirements across the firm.

This article was originally published on Securities Finance Monitor.

View and/or download Article PDF

Transcend shortlisted for FTF News Technology Innovation Awards ‘Best Collateral Management Solution’

As firms look for ways to increase efficiency and reduce risk across the business, collateral often remains gridlocked. Transcend’s Collateral Management & Optimization solutions help firms completely redefine how they manage collateral – leading to increased liquidity, lower costs and greater compliance.

In recognition of our innovative approach, FTF has shortlisted Transcend for ‘Best Collateral Management Solution’ in the FTF News Technology Innovation Awards 2019, which celebrate noteworthy progress and achievements in operational excellence over the past year.

You can help decide who wins by voting here – look for Transcend Street Solutions in category 7, ‘Best Collateral Management Solution’. Voting closes on April 12.

Many thanks for your support!

Collateral management: A path littered with obstacles

As collateral rules have grown in complexity, so has the need for greater optimization – But as Tim Steele [of Funds Europe] discovers, achieving that can be painful.

Collateral has long been used as a tool for mitigating counterparty risk and obtaining credit, but now more than ever, it is the key determinant of an institution’s ability to engage in financial transactions in the cash or derivatives markets….

“If you optimize every pool or silo individually, as a firm you will by design not be optimized,” says Bimal Kadikar.

Read the full article from Funds Europe

Risktech start-ups struggle to clinch big-bank contracts

Start-ups are widely reckoned to have a one in 10 chance of survival. For start-ups in the field of risk management, the odds are probably a little worse: the field has all the withering mortality of the ordinary start-up, plus the special hell of being small, agile and captive to the sluggish metabolism of a big bank.

For now, it’s not stopping them. Hoping for a big payoff, this group of disruptors is looking to upend risk management with their products, addressing things from transaction monitoring and trade reporting, to IFRS 9 and model validation.

Read the full article on Risk.net

Transcend Hires Former JPMorgan Securities Finance Exec Marcoullier

NEW YORK, NY (June 7, 2018) – Transcend, a leading provider of real-time collateral and liquidity management technology, has appointed BJ Marcoullier Head of Sales. In this role, Marcoullier will be responsible for driving the firm’s sales and business development efforts.

Before joining Transcend, Marcoullier spent 22 years at JPMorgan Chase, most recently leading its North American liquidity and funding team within equity finance and prime brokerage. He also led funding, liquidity and capital optimization efforts for its US broker dealers and prime brokerage business and managed the Americas securities borrow and loan desk.

“While some institutional functions have leapt forward in the last decade, the use and optimization of collateral remains gridlocked in days gone by,” said Marcoullier. “When deciding between options for my next role, Transcend’s combination of vision for making enterprise data aggregation, analytics and optimization a business-driving strategy and the technology to fulfill that promise was unrivaled.”

“BJ has a reputation for catalyzing change within one of the world’s largest institutions,” said Bimal Kadikar, CEO and Founder of Transcend. “He’ll be critical to expanding our business and a game changer to our industry as institutions develop strategies to analyze and optimize collateral more holistically.”

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About Transcend

Transcend is a leading provider of real-time collateral and liquidity management technology. With a modular, front-to-back office approach, clients harness real-time data, collateral and liquidity across their enterprises to unlock greater efficiencies and improve returns on investments. For more information, visit www.transcendstreet.com.

Media Contact
Patrick Sutton
Paragon Public Relations
Patrick@paragonpr.com
+1.646.558.6226

Top five trends in collateral management for 2018

Collateral management has broadened far past simple margin processing; collateral now impacts a majority of financial market activity from determining critical capital calculations to impacting customer experience to driving strategic investment decisions. In this article, we identify the top five trends in collateral management for 2018 and highlight important areas to watch going forward.

The holistic theme driving forward collateral management is its central role in financial markets. Collateral has grown so broad as to make even its name confusing: where collateral can refer to a specific asset, the implications of collateral today can reach through reporting, risk, liquidity, pricing, infrastructure and relationship management. The opportunities for collateral professionals have likewise expanded, and non-collateral roles must now have an understanding of collateral to deliver their core obligations to internal and external clients.

We see a common theme running through five areas to watch in collateral management in the coming year: the application of smarter data and intelligence to drive core business objectives. Many firms have digested the basics of collateral optimization and are now ready to incorporate a broader set of parameters and even a new definition of what optimization means. Likewise, technology investments in collateral are starting to tie into broader innovation projects at larger firms; this will unlock new value-added opportunities for both internal and external facing technology applications.

Here are our top five trends for collateral management in 2018:

#5 Technology Investments

The investment cycle in collateral-related technology applications continues to grow at a rapid pace. Collateral management budget discussions are moving from the back office to the top of the house. And partly as a result, the definition of the category is also changing. Collateral management should no longer be seen as strictly the actions of moving margin for specified products, but rather is part of a complex ecosystem of collateral, liquidity, balance sheet management and analytics. The usual, first order investment targets of these budgets are internally focused, including better reporting, inventory management and data aggregation. The second derivative benefit of a more robust data infrastructure focuses on externally facing trading applications, including tools for traders and client intelligence utilities that provide real-time information and pricing for the benefit of all parties. This new category does not yet have a simple name, one could think of it as a “recommendation system” but regardless of name, this has become a major driver of forward-looking bank technology efforts and efficiency drives.

As large financial services firms capture the benefits of their current round of investments, they will increasingly turn towards integrating core innovations in artificial intelligence, Robotics Process Automation and other existing technologies into their collateral-related investments. This will unlock a large new wave of opportunity for how business is conducted and what information can be captured, analyzed, then automated, for a range of client facing, business line, internal management and reporting applications.

#4 Regulatory reporting

Despite being 10 years since the bottom of the great recession, regulatory reporting requirements for banks and asset managers continue to evolve. Largely irrespective of jurisdiction, the core problem facing these firms is aggregating and linking data together for reporting automation. Due to strict timeframes and complex requirements, firms historically relied on a pre-existing mosaic of technology and human resources to satisfy regulatory reporting needs. However, these tactical solutions made scale, efficiency and responsiveness to new rules difficult. The challenge of regulatory reporting is a puzzle that, once solved, appears obvious. But the process of solving the puzzle can create substantial challenges.

Looking at one regulation alone misses the transformative opportunity of strategic data management across the organization. Whether it is SFTR, MiFID II, Recovery & Resolution Planning requirements of SR-14/17 or Qualified Financial Contracts (QFCs), the latest initiative du jour should be a kick off for a broader rethink about data utilization. Wherever a firm starts, the end result must be a robust data infrastructure that can aggregate and link information at the most granular level. At a high level, firms will need to develop the capability to link all positions and trading data with agreements that govern these positions, collateral that is posted on the agreements, any guarantees that may be applied and any other constraints that need to be considered. Additionally, it has to be able to format and produce the needed information on demand. Achieving this goal will take meaningful work but will make organizations not only more efficient but also more future proof.

#3 Transfer pricing

As firms try to optimize collateral across the enterprise, it is critical that they develop reasonably sophisticated transfer pricing mechanisms to ensure appropriate cost allocations as well as sufficient transparency to promote best incentives in the organization. Many sell-side firms have highly granular models with visibility into secured and unsecured funding, XVA, balance sheet and capital costs. And in varying fashion these firms allocate some or all of these costs internally. But many challenges remain, including: how should all these costs be directly charged to the trader or desk doing the trade; and what is the right balance of allocating actual costs versus incentivizing business behavior that maximally benefits the client franchise overall. As we know, client business profiles change through time as do funding and capital constraints. There may be a conscious decision to do some business that may not make money in support of other areas that are highly profitable. Transfer pricing is evolving from a bespoke, business aligned process to a dynamic, enterprise tool. The effort to enhance transfer pricing business models continues to be refined and expanded.

Firms that embrace the next iteration of transfer pricing will achieve a more scalable, efficient and responsive balance sheet. This will include capturing both secured and unsecured funding costs, plus firm-wide and business specific liquidity and capital costs. Accurately identifying the range of costs can properly incentivize business behaviors beyond simply the cost of an asset in the collateral market. Ultimately, transfer pricing can be a tool to drive strategic balance sheet management objectives across the firm.

Functionally, implementing transfer pricing requires access to substantial data on existing balance sheet costs, inventory management and liquidity costs that firms must consider. Much like collateral optimization, the building block of a robust transfer pricing methodology is data. Accurate information on transfer pricing can then flow back into trading and business decisions to be truly effective.

#2 Collateral control and optimization

Optimization is evolving well beyond an operations driven process of finding opportunity within a business to an enterprise wide approach at pre-trade, trade and post-trade levels. Pre-trade, “what-if” analyses that will inform a trader if a proposed transaction is cost accretive or reducing to the franchise is important, but this requires an analytics tool that can comprehend the impact to the firm’s economic ecosystem. At the point of trade, identifying demands and sources of collateral across the entire enterprise extends to knowing where inventories are across business lines, margin centers, legal entities and regions. It also means understanding the operational nuances and legal constraints governing those demands across global tri-parties, CCPs, derivative margin centers and securities finance requirements.

In a simple example, collateral posted on one day may not be the best to post a week later; if posted collateral becomes scarce in the securities financing market and can be profitably lent out, it may be unwise to provide it as margin. A holistic post-trade analysis, complete with updated repo or securities lending spreads, can tell a trader about missed opportunities, leading to a new form of Transaction Cost Analytics for collateralized trading markets.

#1 Integration of derivatives & securities finance (fixed income and equities)

The need for taking a holistic approach to collateral management has led the industry toward significant business model changes. Collateral is common currency across an enterprise and must be properly allocated to wherever it can be used most efficiently. This means that traditional silos – repo, securities lending, OTC derivatives, exchange traded derivatives, treasury and other areas – need to be integrated. Operations groups that have been doing fundamentally the same thing can no longer be isolated from one another; the cost savings that come from process automation and avoiding operational duplication is too compelling.

On the front-office side, changes needed to impact trading behavior, culture and reporting to name a few are often very difficult to implement over a short period of time. Despite similar flows and economic guidelines, different markets and operation centers, even though all under the same roof, traditionally suffer from asymmetric information. To address this challenge a handful of large sell-side players have combined some aspects of these businesses under the “collateral” banner, sometimes along with custody or other related processing business. Others have developed an enterprise solution to inventory and collateral management. We expect that, more and more, management is seeing the common threads and shared risks involved. The merger of business and operations teams translates into a need for technology that can be leveraged across silos.

The business of collateral management is reshaping every process and silo it touches. While the trends we have identified are not brand new, they all stand out for how far and fast they are advancing in 2018 and beyond. Financial services firms that take advantage of these trends concurrently and plan for a future where collateral is integrated across all areas of the business will improve their competitive positioning going forward. To add a sixth trend: firms that ignore broader thinking about collateral management technology do so at their own peril.

This article was originally published on Securities Finance Monitor.

A framework for build, buy or network in a changing market environment

Capital markets firms are faced with tough choices in their vendor and utility selection. But when should firms choose to partner with vendors, participate in industry utilities or insource development altogether? This article provides a framework for thinking through the options.

Capital markets have always been fast moving but seldom have the drivers of change come from so many directions at once.  Both buy-side and sell-side firms are contending with simultaneous pressures to comply with new regulations, find new ways to generate revenues and to cut costs. What makes this environment even more challenging is the interaction between these competing goals. Implementing new functionality to comply with new regulations is not enough; systems and processes also need to adjust to accommodate changes to business models driven by those regulations. New business initiatives have historically gone through due diligence processes of varying degrees of strictness and now need to satisfy control questions from the outside.  All this at a time when technology is evolving at a dizzying pace providing many options that were not viable until recently.

These challenges should not be perceived as all negative because the current environment presents many positive strategic opportunities. From established technology providers to the newest fintech start-ups, there is now an unprecedented choice of technology vendor options. There is a greater willingness than ever by firms to partner and develop industry solutions and to support, and in some cases create, new service providers. Meanwhile, at long last, the breadth of new functionality offered by these providers is matched by their depth of expertise. Solution providers frequently now offer not just “software” or a “service” but a complete solution package.

While capital markets players show increased willingness to turn to others for help in this challenging environment, there is also the recognition that the return on investment from internal technology resources needs to come from genuine differentiators in areas such as trading, data analytics, risk management and client interaction. In this world of both challenge and choice how can firms make the optimal choices without becoming stuck in analysis paralysis? At the most fundamental level they require a framework for deciding when to build, buy or network in collective enterprises.

Assessing internal capabilities

For a capital markets firm, the starting point for creating a framework is a realistic assessment of who they are, where they are going and what they are capable of. Some firms’ strengths may come from getting the basics right in areas such as operations or credit. Others may be innovators, creating new products, being the first into new markets or the first mover in the application of new technologies. Few, if any, firms can be good at everything and the effort of trying can be counterproductive. A realistic recognition of strengths and weaknesses is key.  This analysis needs to be conducted front to back ⎼ including business functions, personnel and technology capabilities ⎼ to ensure the most holistic understanding is developed for optimal decision making.

The next step is for a firm to understand where it wants to go, or more often in the current changing environment, where they need to go. Banks have been constrained by the pressure to build up and conserve capital. As a consequence, many formerly key business areas have shrunk or been closed. On the buy-side, active fund management, a traditionally high margin business, is under threat. Business changes such as the growth in popularity of low-cost ETFs and the rise of the robo-advisor are having major impacts on business strategy, even where the basics are sound. Whether a business strategy is expansive or reactive, or simply aimed at preserving a successful franchise, it has a major impact on a framework for interaction with technology and service providers.

Lastly, firms need to assess the potential of help from external parties versus the strengths of internal capabilities. One of the most significant recent developments has been the willingness to develop shared industry resources. The general driver for this has been a recognition that many parts of a financial sector organization (including the relevant parts of infrastructure) are non-differentiating sources of costs rather than sources of competitive advantage. Though industry utilities have been around almost as long as computers, they have tended to focus on a limited set of functional areas.

The new generation of utilities are appearing across front, middle and back office. Some notable examples include: FIS’s Derivatives Processing Utility which grew out Barclays; Accenture (in collaboration with Broadridge) Post-Trade Processing that absorbed business functions from Societe Generale; and more traditional projects such as Symphony, a collaboration of 16 major financial firms building a secure communication network. Another change of emphasis has been from the traditional regulatory drivers behind major utilities to more commercial drivers. In some cases, superior internal performance may actually create the opportunity for revenue generation by using that capability as the basis for an industry utility.

Creating vendor partnerships – dependencies, commodities and customization

There has been a high degree of consolidation of financial software vendors in recent years. Firms such as FIS have grown through a long-running series of acquisitions (notably SunGard at the end of 2015), Broadridge Financial Solutions continues to make acquisitions, and UK based Misys recently merged with Canadian D+H to form Finastra. Consolidation has also been driven to some extent by internal procurement departments, which in many large financial services firms have worked to reduce the number of vendor relationships.

Despite these trends, there has been little reduction in choice as new fintech vendor firms grow. “Innovation” or “digital” teams across capital markets firms have worked to build bridges to the more promising start-ups. Choice in functionality has been matched by choice in the type of offerings. Capital markets software is often now available as part of a comprehensive package including cloud-based hosting, integration and maintenance. Newer fintech firms may not be as big as other vendors but they make up for it with speed of execution, nimbleness and innovation in driving complex challenges. They are able to adopt some of the latest technology innovations much more efficiently than their larger counterparts.

Add to that the management of staff to execute the business process, and one end of the software services spectrum is indistinguishable from a utility. Still, partnering with a vendor creates the bane of any project manager: more dependencies on outside parties can mean more risks, the potential for slow turnaround and reduced control. The alternative, however, isn’t foolproof. Good internal development teams and working in genuine partnership with a business can deliver changes rapidly that are focused on a business user’s needs. However, writing new software or even carrying out the full integration of a vendor package can be a high risk and high-cost strategy.

A good amount of the current enthusiasm for partnering with new fintech firms or joining industry utilities come from few key factors:

  • The experience of difficulties rolling out new systems in financial firms’ increasingly controlled and complex environments.
  • Many fintech firms can offer significantly deep domain and technical experience that may not be available internally.
  • Many financial firms have difficulty in finding and retaining top technology talent as professionals have opted to pursue other opportunities in the broader technology industry or fintech space.

This can make it harder than ever to deliver a project to budget, with acceptable timescales and user expectations. Even where a firm shows expertise in one area of technology, it is unlikely to have breadth and depth of resources within its IT function to do everything to the same standard.

Commoditization or specialization

Depending on an honest assessment of the firm, its capabilities and business strategy, different choices may be made about buying, building or collaborating. If a capital markets firm’s need is for relatively standard, commoditized functionality, then the key factor becomes the gap between their offering and the firm’s needs. The wider the gap, the greater dependency on additional work being done and the greater the implementation risk. If a wide gap exists between the firm’s needs and the full range of offerings, it may be worth going back to basics and asking why its needs are so different to peers that make use of software packages or other services in the first place.

If one or more potential partners can provide the desired functionality, the characteristics of the vendors themselves need to be considered. Important variables will include vendor capabilities and skill sets in terms of business domain and technical innovation, reputation in the industry, and extensibility of architecture and offering.  Many large vendors provide full feature functionality but it may be hard to customize whereas some newer fintech firms are leveraging more flexible technologies to make their offering able to meet various needs. If a supplier can provide functionality that can then be extended by an internal team, it may be an advantage as firms don’t always need to rely on the vendor for critical business changes.

If businesses require more innovative solutions than they are capable of mustering internally, it is likely that a partner will be of benefit. But the characteristics of the partner may become the most critical factor. Any partner chosen needs to have a genuine understanding of the firm’s needs. Genuine understanding comes from the combination of both technical skills and real-world experience. Suitable partners also need to understand the value of building a solution that is not just for today but has the flexibility to adapt to tomorrow’s challenges. Regulatory changes, such as the requirement to report securities finance trades under SFTR and margining of FX Forwards as a result of MiFID II, can have dramatic impacts. On the positive side, market changes or the rapid uptake of a new product can still lead to dramatic increases in volumes. In this case, firms need to look for a partner and not just a vendor because they may be able to help them assess their current capabilities and also help define the roadmap based on their understanding of the industry and regulatory landscape.

Utilities will continue to provide their own unique solutions, but the vantage point of a buyer or user should be: “is this process sufficiently commoditized that a utility can meet my needs?” Any truly commoditized process can be outsourced to a utility, while processes that offer or require differentiation should be managed internally by the firm. Firms may also need to have internal capabilities developed in-house or through a vendor to connect to the utility and take full advantage of their services. Utilities have a lot to offer, but firms need to be proactive in making the decision about what is a competitive advantage and what is a commodity service.

Creating a framework for understanding a capital markets firm’s capabilities and comparing the results to the vendor and utility landscape is the first step in deciding whether to build, buy or partner for solutions in today’s market. The catchphrase of outsourcing is easy; the hard part is ensuring that firms are building flexible partnerships for the long term. At Transcend Street, we find having a great product or solution is a good start but not enough to win the long term partnerships.  Our clients reach out to us because of our team’s broad industry experience, thought leadership and our focus on execution and delivery. Our vision, its alignment for the client’s benefit, and our capacity to be a long term partner in their success is our crucial differentiating factor.

As technology becomes increasingly complex, it is imperative that firms conduct a holistic review of their own capabilities and strategically identify the right partners. Too often, firms focus on features and functionality comparisons across solution providers but not enough on critical internal assessments. In the brave new world, where profits are scarce, cost pressures are high and regulatory compliance is crucial, firms that can master this strategic balance of internal builds and strategic partnerships in the industry will have a significant competitive advantage.

This article was originally published on Securities Finance Monitor.

An interview with Bimal Kadikar, CEO of Transcend Street Solutions

“Transcend Street Solutions is establishing itself as an innovative player in the collateral and liquidity technology space. We spoke with CEO and founder Bimal Kadikar to learn more about what Transcend is doing and how it sees the evolving market.” – Josh Galper, Securities Finance Monitor

Read the full interview with Securities Finance Monitor