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Quantitative Developer - Middle Office/Risk, Slough
Client:
Richard James Recruitment Specialists Ltd
Location:
Slough, United Kingdom
Job Category:
Other
EU work permit required: Yes
Job Views:
1
Posted:
22.08.2025
Expiry Date:
06.10.2025
Job Description:
Our client is a truly global Commodity trading company who trade both physical and financial commodities including, Gas & Power, Oil, Metals, Agricultural products, and more…
We are looking for a Quant Developer to join the team in the London office, supporting the trading desks; and working alongside the Middle Office/Market & Quantitative Risk teams. This is a genuine opportunity to interact with the trading team, learn about the business, and be innovative with your problem solving and delivery.
The successful candidate will need to demonstrate a strong work ethic, be able to cope with a busy, fast-paced environment, and communicate effectively across all levels including Traders and Senior Management.
The successful candidate will have:
Experience of building multithreaded and multi-process Python apps that consume transactional data, transform, store, and visualise data, i.e., exposure to:
* building multithreaded and multi-process Python systems using frameworks such as Dask, Pandas, Numpy.
* building web-based GUIs using Python frameworks such as Dash.
* building Python-based REST servers using frameworks such as FastAPI.
* writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes.
* designing and optimizing SQL databases such as MSSQL or Postgres.
Experience of working in a financial institution on trading/risk or middle office desks, possibly with exposure to:
* Value at Risk
* PnL attribution
Capable of taking responsibility for delivering significant projects, in particular:
* Liaising with risk analysts and middle officers to understand and gather requirements.
* Design, development, testing, and documenting.
REQUIRED SKILLS:
* Python
* Multi-threading & asynchronous programming
* Knowledge of commodities/Energy trading
* Dask, Pandas, Numpy frameworks.
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