Quant Developer

Huxley Associates

London, United Kingdom

Last month

Applications closed

Posted: 6 Apr 2026 (Last month)

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Applications closed

We have a current opportunity for a Quant Developer on a permanent basis. The position will be based in London. For further information about this position please apply.

Requirements

10-15 years combined quant research and software engineering; minimum 5 years embedded in a front office (any asset class)

Options pricing across the full surface - vanilla, spreads, and structured products in commodity or energy markets

Vol surface calibration: smile fitting, SABR, SVI, Heston, or equivalent; arbitrage constraints and numerical stability in production

Greeks and second-order risk: delta, gamma, vega, volga, vanna, theta; PnL attribution and daily risk reconciliation

VaR, stressed VaR, and scenario analysis implementation; working knowledge of regulatory capital frameworks

Commodity modelling: term structure, forward curve construction, seasonality, convenience yield, and basis risk

Real-time pricing and risk system design - latency-aware implementation, incremental recalculation, and feed-driven revaluation

Backtesting framework design: walk-forward validation, statistical significance testing, and performance attribution

Production-quality Python and/or C++ - code an engineer can review, a CI pipeline can test, and an ops team can support

kdb+/q, DB, or TimescaleDB for high-frequency time-series market data storage and analysis

Ability to set a research agenda independently and communicate risk and findings clearly to senior traders and management

Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have

Market making, systematic execution, or electronic trading in energy or commodity derivatives

Asian options, barrier structures, or path-dependent exotics common in commodity markets

Machine learning applied to vol forecasting, regime detection, or execution cost optimisation

Open-source quant library contributions, published research, or CQF/MFE/PhD in a quantitative disciplineTo find out more about Huxley, please visit

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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