Quantitative Risk Analyst

Quantitative Market Risk Analyst

Global Renewable Energy

London

Cititec are working with a global Renewable Energy business who produce a diversified portfolio of power, solar, wind, and storage assets. They are building a new Market Risk function from the ground up and are looking for a smart, technical quant analyst to join them.

You will play a key role in designing and implementing the firm's next-generation risk infrastructure, supporting robust market risk oversight across physical and financial commodity portfolios. This is a highly technical role combining market risk, data analytics and systems development, working closely with Trading, Technology and external partners to deliver a scalable, in-house risk platform.

Key Responsibilities

• Support the development of the firm's market risk framework, policies and reporting.
• Design and implement market risk analytics across physical and financial trading portfolios.
• Build and maintain risk reporting, exposure dashboards and quantitative risk metrics.
• Work with market data, forward curves, positions and pricing data to develop a robust internal risk database.
• Support the implementation of a new enterprise market data and risk infrastructure, reducing reliance on external consultancy and data providers.
• Develop automated processes for data validation, curve management and risk reporting.
• Partner with Trading, Finance and Technology teams to ensure accurate, timely and scalable risk analytics.
• Contribute to the ongoing enhancement of risk models, controls and governance as the function evolves.

Requirements

• Experience within Market Risk, Risk Analytics or Commodity Risk in an energy trading environment.
• Strong understanding of market risk methodologies across physical and financial commodity portfolios.
• Experience working with market data, forward curves, pricing and trading positions.
• Strong technical skills in Python and SQL, with experience manipulating large datasets and automating analytical workflows.
• Exposure to ETRM systems, risk platforms or market data infrastructure is highly desirable.
• Excellent analytical and problem-solving skills with the ability to bridge technical and commercial teams.
• An interest in applying AI and modern data science techniques to market risk, analytics and process automation. The business is investing heavily in AI-enabled tooling and is looking for individuals who are keen to work in a technology-led environment and help shape the next generation of risk analytics.

Desirable experience or interest

• Building quantitative models rather than solely consuming third-party analytics.
• Knowledge of forward curve construction, fundamental market modelling and commodity pricing methodologies.
• Exposure to developing proprietary market data, valuation or risk models in-house.
• Experience supporting the migration away from consultancy-led or vendor-managed analytical solutions.