Quantitative developer specializing in derivatives trading logic, risk engines, margining, and exchange workflows. 14+ years building mission-critical trading systems in FX, fixed income, crypto and AMM/CLOB exchanges.
Contributed to the design and implementation of cross-asset margining across two base currencies, enabling clients to margin positions more flexibly across heterogeneous products.
Rewrote the exchange auto-deleveraging (ADL), insurance fund management and liquidation logic to clarify edge cases and improve risk management capabilities.
Designed and implemented a position-transfer workflow allowing users to isolate individual positions for margin purposes, enabling more granular collateral allocation and clearer liquidation boundaries.
Contributed to the design of spread markets, ensuring correct implied-order construction and consistent risk/margin handling.
The quantitative development team is a product-aligned team responsible for the research, design, and delivery of Bullish's hybrid CLOB/AMM trading engine.
Co-designed and delivered a new spot margin trading system, compatible with AMM liquidity amplification, including risk, liquidation, peer to peer lending and auto-borrowing.
Co-designed and delivered perpetual futures product from scratch, including execution logic, settlement, funding, risk, liquidation, ADL, and integration with the AMM.
Developed a randomized testing framework simulating tens of thousands of execution scenarios to validate trading-system and AMM invariants, ensuring correctness of margining, funding, liquidation, ADL, and hybrid CLOB/AMM execution.
Led a cross-functional team (8pax) to enable multi-pool liquidity routing, enabling execution of crosses against AMM liquidity.
E-Trading Strategy sits within Nomura’s Global Markets division, following a “strats” model rather than being a more traditional IT function. We are responsible for all E-Trading platforms in the dealer-to-client and dealer-to-dealer spaces, including pricing, execution and price distribution, across cash and derivatives.
Contributed to Nomura Live, Nomura's eFX platform aggregating spot, forwards, swaps and options pricing and execution capabilities.
Built trader-facing FX curves construction and calibration tools which greatly improved real-time control over pricing.
Developed high performance analytics including a historical trade blotter that can search, sort and filter millions of trades to analyze fill quality.
Design and development of components for the cash equity trading system, including a client portfolio pricer for the equity financing desk and a trading mandate system (C#, F#, SQL).
CapitaLab is a quantitative financial technology group within BGC Partners, responsible for optimising portfolios of financial derivatives for large investment banks and buy-side clients.
As part of the quant team I was responsible for the architecture, performance and scalability of the portfolio optimisation engine.
Delivered exponential performance gains in the portfolio compression engine: from 2h30 to 3 mins through algorithmic complexity reduction and better use of data structures.
Halved the memory used by the risk calculation engine by fixing memory leaks and improving the multi-processing implementation.
Improved the test framework: 3x test cases for 25% of run time through better parallelisation.
Optimisation of SQL queries joining tables with billions of lines through indexing.
Main technologies: Python, SQL Server, F#, multi-processing.
In close collaboration with FIT trading desks, design and development of various trading & risk tools such as:
Yield curve & volatility surface models for pricing and risk applications (Excel, C#, SQL)
An intraday PnL Forecast tool for Treasury APAC desks (Python).
A service providing real-time transfer rates for internal clients + corresponding contribution tools for treasury desks - 800+ users across APAC region (C#, SQL).
Exposure to various FI derivatives across multiple markets (swaps, bonds, options, ...)
Intensive undergraduate studies in mathematics, physics and chemistry (MPSI & MP) in preparation for competitive entrance exams to the top French engineering schools.