Cititec
Quantitative Risk Analyst
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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.
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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.
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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.
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