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The role involves collaborating with quantitative researchers to design and refine market microstructure models and deploying execution algorithms into production trading systems. You will also analyze high-frequency data to identify execution cost drivers and enhance backtesting frameworks.
Candidates should have at least 5 years of experience in quantitative development or market microstructure research, with strong programming skills in Python and familiarity with high-frequency trading infrastructure. Experience with exchange-traded derivatives and low-latency systems is also required.
DeepFin Research is a proprietary trading firm, deploying systematic models across both OTC and listed derivatives markets.We are seeking a Quantitative Developer to join our growing quantitative trading team. This role will work closely with quantitative researchers to bridge research and production, ensuring that models, simulations, and execution strategies move seamlessly from the lab into live trading systems. You will play a key role in advancing our market microstructure research, designing high-performance systems, and expanding our capabilities as we enter new asset classes and trading venues. Key Responsibilities: Work alongside quantitative researchers to design and refine market microstructure models, including order book dynamics, liquidity provision, and market impact. Collaborate with researchers and developers to prototype, test, and deploy execution algorithms into production trading systems. Analyse high-frequency tick and order book data to identify execution cost drivers, inefficiencies, and predictive patterns. Extend and enhance backtesting frameworks to support intraday and microsecond-level simulations. Apply best-practice software engineering principles, including automated testing, CI/CD pipelines, peer review, and clear documentation. At least 5 years of professional experience in quantitative development, trading technology, or market microstructure research. Strong programming skills in Python (C++ experience is a plus). Proven experience with market microstructure research and exchange-traded derivatives, especially futures and options markets. FX, Equities, and Crypto experience is a plus. Previous experience at a high-frequency trading firm or market maker is required. Familiarity with HFT infrastructure, execution systems, and exchange protocols (e.g. FIX, native binary). Experience building and optimising low-latency research and trading systems. Experience with Level 3 (L3) futures order book data, PCAP files, and other low-latency market data formats. Role based in New York, London, or Jersey (Channel Islands); hybrid working arrangement.
This job posting was last updated on 9/5/2025