Senior Quantitative Developer

Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance. We serve some of the world’s largest insurance companies, hedge funds, asset managers, and institutional investors. We deliver decision-ready risk analytics that bring clarity and insight to multi-asset portfolios—highlighting exposures, sensitivities, scenarios, and performance drivers.As a Senior Lead Quantitative Developer for Energy and Commodities you will own the commodity analytics on our platform and lead the London quant team. The product spans financial and physical commodity products, from linear instruments through to exotic payoffs, and the models and risk analytics behind them. You will work with developers across the platform, present models to clients and their validators, and take what comes back into the code. Half the job is building. The other half is running a team that builds.What You'll DoOwn the pricing libraries for financial and physical commodity products, including exotic payoffsBuild and calibrate the models behind them, and the numerical machinery those models needExtend our multi-factor pricing framework so that adding a payoff is configuration rather than a new pricersMake it fast enough for production: compiled path generation, variance reduction, and performance tests that fail when a changemakes things slowerBuild the analytics around the price — sensitivity testing, cash flow generation — across commodity portfoliosPresent models to clients and to model validators, and answer what comes back with evidence rather than assertionLead the London quant team. Hire, run one-to-ones, and take responsibility for the growth of the people on itSet technical direction for commodities across the platform, and hold the standard on code review, testing, and model documentationWhat We're Looking For10+ years in quantitative development, with most of it in energy and commoditiesExperience leading developers, as a line manager or a tech lead who owned delivery for a teamMulti-factor commodity models: construction, calibration, and the market conventions they have to respectExotic payoffs, and experience pricing them in a framework rather than one pricer at a timeMonte Carlo, including least-squares Monte Carlo for early exercise and path-dependent structuresPDE methods, and the judgement to know when a problem wants a grid rather than pathsLinear and dynamic programming for constrained optimization problemsProduction Python, plus performance work in a compiled language where Python is not enoughThe ability to explain a model to someone who does not share your background, and be understoodWhat Will Make You Stand OutPhysical asset valuation and optimization: storage, transportation, generation, loadFront office development on a commodities or energy desk, supporting pricing, hedging, and riskExotic options outside commodities — FX, equity, convertibles — and the frameworks that price them together rather than separatelyHaving built something other quants build on, and maintained it while they didSummaryLocation: Office - LondonType: Full time