About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Former JP Morgan Head of Counterparty Credit Risk Modelling Joins Quantifi

Subscribe to our newsletter

Quantifi, a leading provider of analytics, trading and risk management solutions for the global capital markets, today announced the appointment of Dr. Dmitry Pugachevsky as Research Director. Dr. Pugachevsky will be responsible for managing Quantifi’s global research efforts.

Rohan Douglas, CEO, Quantifi, said, “Dmitry has long been a leading figure in the industry and comes to Quantifi from JP Morgan, the bank that pioneered counterparty risk management. His hire is a reflection of our continued investment in innovative, market-leading solutions. His deep experience heading research groups at leading banks like JP Morgan and Bear Stearns is a great addition to Quantifi and will ensure we remain at the forefront of quantitative finance.”

Dr. Pugachevsky brings more than 18 years’ counterparty credit and cross-asset modelling experience to Quantifi. He joins Quantifi from JP Morgan where he was Head of Counterparty Credit Modelling and was responsible for developing new models for calculating CVA across different asset classes and supporting credit portfolio trading. Before starting with JP Morgan in 2008, Dr. Pugachevsky was Global Head of Credit Analytics at Bear Stearns for seven years where he was responsible for modelling the whole spectrum of credit instruments. Prior to that, he worked for eight years with the analytics groups of Bankers Trust and Deutsche Bank, developing models for credit, fixed income and equity derivatives.

“The OTC markets are witnessing significant change, driven by new regulatory initiatives including the Dodd-Frank bill and the impending Basel lll capital accord. These changes have brought a heightened focus on counterparty risk and highlight the need for firms to adopt active counterparty risk management systems. Quantifi’s award-winning solutions and experience gives the company a unique position in this area. I am delighted to join Quantifi at such an exciting time and look forward to helping build on the company’s success by providing the necessary research for ongoing development of industry leading cross-asset counterparty risk and CVA tools,” said Dr. Pugachevsky.

Dr. Pugachevsky received his PhD in applied mathematics from Carnegie Mellon University. He is a frequent speaker at industry conferences and has published several papers and book chapters on modelling counterparty credit risk and pricing derivatives instruments.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

A-Team Group Announces Winners of RegTech Insight Awards Europe 2026

A-Team Group has announced the winners of its RegTech Insight Awards Europe 2026. The awards recognise both established providers and innovative newcomers providing RegTech solutions to capital market participants that significantly improve their ability to respond effectively to evolving and increasingly complex regulatory requirements. This year’s RegTech Insight Awards Europe included categories spanning the regulatory...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...