Quant Analyst

Job highlights
  • Full time
  • London, Greater London, United Kingdom
  • Analytics
Job ID R200001571 Closing date 16/06/2026 Last Updated 05/05/2026

THE ROLE

We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading to join our business. You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with cross-functional teams, including analysts, traders and software engineers to have a real impact of the future success of our business. 

KEY RESPONSIBILITIES

  • Work closely with the trading desks and the Risk division to acquire in-depth business knowledge, identify their challenges, and capture specific needs.
  • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading and risk management.
  • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk.
  • Contribute to the development of the shared quantitative platform designed to support all trading desks.
  • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk.
  • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise.

Qualifications and Requirements:

  • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field.
  • Strong programming skills and advanced proficiency in Python.
  • Understanding of probability theory and derivative option pricing.
  • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems.
  • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms.
  • Intellectual curiosity and willingness to learn new models and physical commodity markets. 
  • Excellent problem-solving skills and a strong attention to detail.
  • Strong stakeholder communication skills.
  • Prior experience in commodities trading is beneficial but not required.