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 genuine opportunity to interact with the trading team, learn about the business and to 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 be able to 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 GUI’s using Python frameworks such as Dash
• building Python based REST servers using frameworks such as Fast API
• writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes
• designing and optimising SQL Data bases 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.
• Full life cycle development
• Excellent Communication skills
• Python web framework (e.g., Flask, Dash)
• Built RESTful Web APIs