Quant Dev - Pricing & Risk Stack

Quant Developer - Curves profile, vectorise, and tune so the grid finishes in the window the business actually has — and so intraday becomes realistic, not aspirational. Own it on AWS. Design and run cloud-native services — compute, storage, containers, infra-as-code — with the reliability, observability and cost-awareness of someone who owns production, not someone who throws code over a wall. Engineer for correctness. Strong testing, sensible CI/CD, code review, and the discipline that matters when the output is numbers people trade and report on. A wrong-but-fast risk number is worse than no number. Partner across the chain. Work shoulder-to-shoulder with the techno-functional / middle-office side of the team, with desk quants and with market-data engineering — turning functional specs into well-architected systems and pushing back when the spec is wrong. Push the AI tooling. Use our in-house AI tooling hard — to accelerate development, generate tests and scaffolding, investigate data and performance issues, and compress the build loop. We expect engineers here to set the pace on this, not watch it happen. What you'll need (must-haves) 5–9 years building production software, with a track record of owning meaningful systems end-to-end. Strong, idiomatic Python — performance-aware, well-tested, well-structured. Comfortable with the numerical stack (NumPy/pandas or similar) and with what makes Python fast or slow. Distributed / parallel compute experience — ideally Ray, but strong experience with another distributed framework (Dask, Spark, Celery, MPI, custom grids) and the appetite to go deep on Ray counts. Solid AWS — you've designed and run services in the cloud (compute, storage, containers, IaC) and you understand the trade-offs, not just the buttons. Real software-engineering maturity — system design, testing, CI/CD, observability, performance profiling. You care about correctness and maintainability under pressure. Functional knowledge of commodities (in particular, oil and gas/LNG) — enough understanding of curves, pricing, P