We sat down with Quantifi CEO, Rohan Douglas to learn about how Quantifi has grown over the last 20 years and what the future holds for the company.

Relative value trading is a popular investment strategy for firms looking to achieve high returns while minimising risk. This blog explores the challenges of bond analytics and how access to the right analytics can provide opportunities for more comprehensive trading strategies.

Portfolio managers and traders that use over the counter (OTC) derivatives often lack an accurate real-time view of the valuations and risk of their derivative positions, especially when trading exotic derivatives. Unlike liquid securities or exchange traded products, there is not always a market price available for OTC derivatives.

Credit trading is changing - does your firm have the data, analytics and technology required to take advantage of this new environment?

With the growth in bond issuance in 2020, credit is playing an increasingly important role in investment portfolios. The international bond market represents over $128 trillion in debt outstanding. The current credit market environment, characterised by uncertainty and persistent structural inefficiencies, is rich in relative value credit investment opportunities.  Over the past five years, there has been robust growth in the […]

Relative value credit analytics has been the subject of investor attention over the last 12 months, due to the surge of issuance seen in the bond market and the volatility within the credit sector during COVID-19. Both created opportunities for realisation of value, and whilst the markets calmed down from the turbulence 12 months prior, the party is not over.

The process of trading, procuring and selling commodities has always been risky and intricate, and it’s only becoming more complex. Market structures have shifted, and so risk management solutions must respond to that change. Avadhut Naik, Head of Solutions at Quantifi talks to Commodity Technology Advisory about Quantifi's strong track record in the risk management space and how they've extended this capability to cover the needs of the commodity trading sector.

Quantifi recently took part in Intel's Coffee Chat series to discuss their partnership and collaboration with Intel. This Q&A was taken from the video series where Intel Vice President, Pete Baker, discusses risk analysis, analytics and artificial intelligence on Intel architecture in the financial services sector with Sebastian Hahn, AI Lead, Quantifi.

In the post-crisis world, an increasing number of banks have set up a centralized XVA desk. With the introduction of new regulations to ensure banks are adequately capitalized, it has become common practice to include certain costs in the pricing of OTC derivatives that, in many cases, had previously been ignored. To assist in the […]

This article first appeared on Commodity Technology Advisory’s CTRMCenter™ and is written by Patrick Reames, Founder of Commodity Technology Advisory. We recently visited with the team at Quantifi, including Sachvir Cheema, Director of Business Development, to get a briefing and a demo covering the firm’s activities and solutions in the commodities markets. Originally founded in […]

The COVID-19 (C19) pandemic has severely affected global markets, causing economic disruption at unprecedented speed and on a hitherto unknown scale. With the spread of the virus accelerating by mid-March 2020, the US economy has been severely impacted and there are understandable concerns about the damage caused to the worldwide economy. Unemployment continues to shake […]

The IBOR transition impacts almost every part of the financial services industry including banking, capital markets, insurance and asset management. The imminent retirement of IBOR has forced financial institutions to conduct an end-to-end inventory of IBOR exposure. This should cover the full range of processes, models and systems, including pricing, valuation, risk management and booking. […]

Interbank Offered Rates (IBORs), including the London Interbank Offered Rate (LIBOR), serve as widely accepted benchmark interest rates, and the forthcoming transition is one of the most significant changes for the financial services industry. The unparalleled scale of this industry-wide transition presents considerable challenges, including potential financial, legal, operational, conduct and reputation risks. This blog […]

Interbank Offer Rates (IBOR) play a pivotal role in the functioning of financial markets. The transition away from IBOR represents one of the biggest challenges facing financial services firms. The reform has been ongoing for more than two years, during which market-infrastructure providers, regulators, buy- and sell-side firms, and trade associations have been assessing and […]

Quantifi won Best buy-side Pricing/Valuation Service, Best Integrated Middle-Office Platform and the most highest-profile category of the night; Best Overall Buy-Side Product at the Waters Buy-Side Technology Awards. In this Q&A with WatersTechnology, Rohan Douglas, CEO, discusses the challenges facing buy-side firms and how Quantifi can help clients respond rapidly to market shifts, minimise risk […]

Historically, liquidity risk has been the poor cousin of market risk and credit risk. While the global financial crisis of 2008/2009 first pushed the issue of liquidity risk to the forefront of attention, the most recent market dislocation due to the COVID-19 pandemic has once again highlighted the salient significance of the topic. This is […]

Data has a huge influence on the financial services industry. The volumes of data accumulated are so large that traditional evaluation and analysis methods are no longer suitable. Firms are now recognising that big data technologies, like data science, are the way forward. Using data science can help them focus their resources efficiently, make smarter […]

This blog post explores how Quantifi is leveraging data science and summarises the key trends shaping data science practices within a trading and risk management context. The Use of Data Science Data science applications are used across multiple industries. Obvious power users are high-tech web-based firms like Google, Netflix, Uber and Amazon. Bricks-and-mortar industries like […]