Immersive Finance builds quantitative platform for institutions

Immersive Finance combined market data, exchange connectivity, pricing, portfolio risk and performance analytics into a single platform for institutional derivatives workflows.

London-based Immersive Finance has built a single quantitative platform that joins market data, exchange connectivity, pricing, portfolio risk and performance analytics to support derivatives workflows across front-, middle- and back-office teams.

The platform lets clients research, deploy, monitor and manage derivatives strategies within one consistent framework, replacing separate systems for data, pricing and risk. It connects to exchanges, includes options backtesting and pricing engines, and offers performance attribution tools for hedge funds, asset managers, market makers and bank trading desks in both traditional and digital-asset markets.

Over the past 12 months the firm supported systematic funds in researching and validating strategies and supplied market makers and over-the-counter desks with pricing and risk infrastructure that continued to operate during periods of market stress. Katia Babbar, chief executive and co-founder, said: “Institutions value resilience most when markets are least predictable.”

Babbar described a shift in the digital-asset sector from a narrow focus on cryptocurrencies and decentralised finance toward tokenised funds, deposits, money-market instruments and real-world assets. She said some exchanges are moving to 24/7 trading models and that asset managers and banks are testing on-chain settlement and transparency.

Product work in the last year focused on integrating the derivatives workflow end to end. Clients can load market data, run options backtests, generate dealer and mid-market pricing, measure portfolio exposures and produce monitoring and attribution reports without transferring data between separate systems. The firm highlights resilience, governance and traceability to meet audit and compliance requirements.

Immersive Finance expects investment decision-making to use more artificial intelligence and anticipates increased demand for consistent quantitative inputs and controls for algorithmic and human-led strategies.

Babbar co-founded Immersive Finance after more than 25 years in quantitative analytics, derivatives technology and electronic trading. Her prior roles include senior positions at Lloyds Banking Group, UBS and Citigroup, and she holds a PhD in mathematical finance from Imperial College London. The firm serves institutional clients across foreign exchange, fixed income and digital assets.

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