Principal Quantitative Analyst

Description

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Department

The Quantitative Engineering departmentis 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 Quantitative 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 intoEDF Trading’svaluation engine, working closely with the Quantitative Development team 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 research

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