Quantitative infrastructure for institutional derivatives

Immersive Finance launched an integrated platform that unifies market data, exchange connectivity, pricing, portfolio risk and performance analytics for institutional derivatives workflows.

Immersive Finance has developed an integrated quantitative infrastructure platform for institutional derivatives. The platform combines market data, exchange connectivity, pricing, portfolio risk management and performance analytics in a single framework that supports front-, middle- and back-office workflows.

The system connects an options backtester with live pricing, risk monitoring and performance attribution so teams can move from research to production without reconciling separate systems. The company says the platform provides consistent inputs for pricing and risk across trading venues and supports governance and operational resilience.

Over the past 12 months the firm worked with clients through periods of market volatility. It supported systematic funds in researching, validating and deploying adaptive strategies and provided market makers and over-the-counter desks with pricing and risk infrastructure that continued to operate during market stress. The company also expanded its institutional client base and developed AI-assisted workflows.

Katia Babbar, CEO and co-founder, noted: ‘The past 12 months have reinforced a lesson I’ve seen throughout my career: institutions value resilience most when markets are least predictable.’

Babbar described a shift in the digital assets industry from a focus on cryptocurrencies to a broader digital asset ecosystem, including tokenised funds, deposits, money market instruments and real-world assets. She noted that some exchanges are experimenting with 24/7 trading models and that asset managers and banks are exploring on-chain infrastructure to improve settlement and transparency.

Operational complexity is a primary challenge for institutions, the company says. Babbar identified the need to process large volumes of market data, price complex derivatives, optimise margin and monitor portfolio risk across multiple venues. She added: ‘Institutions need a quantitative layer that processes and enriches market data to support pricing, analytics and risk monitoring within a consistent decision-making framework.’

The firm highlighted product integration as a recent development, aiming to replace disconnected systems with a single platform that spans market data to performance analytics. Immersive Finance serves hedge funds, asset managers, market makers and banks across FX, fixed income and digital assets.

Katia Babbar holds a PhD in Mathematical Finance and previously led quantitative and trading teams at Lloyds Banking Group, UBS and Citigroup. She founded Immersive Finance to provide a consistent quantitative foundation for institutional derivatives workflows.

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