Graduate Quantitative Analyst in London

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.

Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.

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 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

Department Overview

The Quantitative Solutions department is business focussed and prides itself in being subject matter experts across our core areas: business knowledge, research and development of derivatives models, analytical tools, producing highly scalable performant compute services for pricing and risk.

Team Description

The Quantitative Analysis team is responsible for the research and implementation of models for derivatives pricing and market analysis. The core deliverables are a C++ library and Python services for pricing, risk calculation, and parameter estimation. The team partners with trading desks, pricing & structuring, and commercial teams, to recommend and develop new models, and to identify and implement enhancements to existing models. The team works closely with Quantitative Development and Quant Risk to ensure that models are efficiently implemented, tested, and well documented.

Core Responsibilities

• Partner with trading desks and structuring to gather requirements for new derivatives models
• Undertake research and development for new models and upgrades to existing models
• Backtest models to provide insights on model behaviour and suggest strategies for trading
• Calibration/estimation of model parameters, working with development teams for deployment
• Partner with Quantitative Development to develop pricing libraries and data analysis tools
• Actively engage with Quant Risk to test and document proposed enhancements to models

Technical Requirements

• Good programming skills in C++ and Python; able and willing to write clear and effective code
• Sound understanding of linear algebra, calculus, statistics, and numerical optimization methods
• Basic knowledge of commodities trading and preferably some exposure to option pricing theory

Person Specification

• Strong analytical and problem solving skills with an exceptional level of attention to detail
• Good communication skills with the ability to actively engage with non-technical audiences
• Capable of thriving in a fast paced yet collaborative and team-driven trading environment

Hours of work: 08:30 to 17:30