Come work at a place where innovation and teamwork come together to support the most exciting missions in the world When you join EDF Trading you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box. Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products. EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do. Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy. Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business. Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector. Join us, make a difference and help shape the future of energy. Job Description: Department The Quantitative Engineering department is responsible for the valuation of the entire trade portfolio in EDF Trading. The group is business focused and prides itself in being subject matter experts across all the areas we contribute in: be that business knowledge, mathematical models for pricing, tooling for trading management or highly scalable performant computational services. Within Quantitative Engineering, the Q uantitative Analytics group is responsible for research and implementation of market and product mathematical models. Position purpose Maintain and expand our existing library of valuation and risk-management models. Identify and implement possible enhancements. Recommend and develop new models. Provide methodological support to trading desks and other teams. Main responsibilities Calibration/estimation of parameters of market price models Back-test current market or product models and recommend improvements Gather business requirements for the development of new models Undertake appropriate basic research leading to the development of prototypes, analyse possible or necessary approximations and determine the most appropriate approach Implementation in to EDF Trading’s valuation engine, working closely with the Q uantitative Development t eam to ensure seamless integration, and documentation Advise traders and structurers on methodologies and explain models’ behaviour Mentor junior members of the quant group. This list is not exhaustive and may include other tasks assigned by the manager. Experience required The ideal candidate would have: A minimum experience of circa 10 years in a similar environment (energy trading house, energy trading desk of an investment bank) Exposure to complex structured commodity deals (physical and financial). Of particular interest are power purchase agreements and renewable energy products Experience with large-scale software projects, notably trading and pricing systems Technical requirements Graduate qualification in a quantitative subject (Maths, Physics, Engineering) combined with a postgraduate degree in Mathematical Finance or similar Deep understanding of option pricing theory and associated numerical methods (Monte Carlo) Knowledge of numerical optimization methods (linear programming, dynamic programming) Theoretical and practical knowledge of energy markets and associated complex derivatives products Good programming skills ( C++, Python) : able and willing to write clear and effective code. Person specification Strong analytical and problem solving skills Strong attention to detail Able to initiate and carry out model res earch Good communication skills, ability to communicate complex issues to non-specialist audiences Capable of thriving in a fast paced trading environment Desire to work within a collaborative, team-driven environment. Hours of work: 8:30 to 17:30