Quant Developer

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.

Candidate will sit at the boundary between rigorous financial research and production engineering - writing models that run live on the trading floor, priced in real time, monitored in production, and generating PnL. You will work directly with traders and risk managers in a true front office environment where the feedback loop between your research and market outcomes is immediate. This is not a research lab role.

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, In__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 disciplineWhat We're Looking For

You do not consider a model done until it is live, monitored, and generating PnL. You stress-test your own assumptions before anyone else does, explain a vol surface to a trader and a codebase to an engineer with equal fluency, and are genuinely energised by markets that are hard to model. ETrading Client trades at the sharp end of global energy derivatives. That should excite you.

To 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