5 of 5 Remote Derivative Jobs in the Thames Valley

Bring Proven experience in Python development, ideally within high-performance or data-intensive environments Understanding of financial markets — experience in equities, fixed income, or derivatives is a strong plus Excellent problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders Why Join Front-Office ...

Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing ...

cutting edge platform. You'll be working with modern C++ (C++ 14 and above) on Linux, building complex systems for cross asset securities and derivatives post-trade processing solutions. This is a great opportunity to accelerate your career alongside established business and technology leaders, and gain/deepen your finance ...

analytics. You'll work closely with quants, traders, and risk technologists to deliver fast, accurate, and scalable models for both vanilla and structured derivatives across Oil, Power, Gas, and Equity products. You will take ownership of implementing complex pricing models, designing calibration routines, integrating market data, and ensuring robust model … Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline. Advanced Python engineering capability (inc. NumPy/SciPy/Pandas). Strong understanding of derivatives pricing theory. Background working with commodity or equity options, including structured derivatives. Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts. ...

quant, risk, operations, and technology teams to ensure high-quality, reliable and compliant market data coverage across asset classes (e.g. equities, fixed income, FX, derivatives, commodities, as relevant). Role Own the end-to-end lifecycle of market data — from vendor selection and licensing, ingestion, validation, transformation, storage, to publication … where licensing/commercial terms are relevant). Skills Needed Demonstrable expertise in market data — including understanding of different asset classes (equities, fixed income, derivatives, FX, commodities, as relevant). Strong working knowledge of major market data vendors and data feeds, licensing models, reference data, and real-time data services. ...