Quantitative Risk and Data Analyst

Description The Quantitative Risk and Data Analyst will play a key role in the day-to-day functioning of the Commercial Risk team, with scope to work on exciting projects, including the development of new quantitative models to support the implementation of trading strategies, with a focus on Gas and Power. Application Deadline: 28 August 2026 Department: Risk Control Location: London, UK Key Responsibilities

• Risk reporting - daily/weekly/monthly reporting of risk the business carries, develop holistic Risk reporting for department, e.g. VAR suite, Stress testing, consolidated exposure/risk reports.
• Actively run and support daily VAR process.
• Development of quantitative models for the evaluation of complex structured deals, support originators/traders in the development and implementation of trading strategies incorporating such models.
• Development and validation of quantitative models for use in transaction valuation and risk measurement within the Commercial Risk.
• Risk data management - Ensure data in Risk systems are accurate, complete and accessible.
• Risk Platform/System development: improve processes, systems and reporting from internal systems for Risk needs. Develop and support operationalisation of latest market technology.
• Price Analysis - time series analysis of prices/volatilities/correlations, support annual Audit review of company price and valuation data.
• Data handling - Provide data extract and manipulation for Risk Team and stakeholders.
• Develop collaborative relationship with key stakeholders across functions.
Skills, Knowledge and Expertise
• Degree level education in a numerate subject, preferably in Economics, Engineering, IT, Science or Mathematics.
• Database (SQL) / coding / system knowledge and experience.
• Commodities/Derivatives experience in a similar trading organization.
• Minimum 4-5 years' experience preferred.
• Proven quantitative and programmatic skills.
• A strong grasp of mathematics is a must with strong analytical skills.
• Proven track record of developing and applying quantitative models to complex gas and/or power deals (e.g. gas storages, virtual power plants).
• Ability to think logically and problem solve is key.
• Interest in commodities, traded markets and/or energy transition important.
• Be a self-starter as well as a team player.
• Willingness and ability to work and deliver on timelines.
• Be diligent and dedicated to manage ad-hoc analysis and projects in a timely manner.
Benefits This role offers a competitive salary (commensurate with experience), plus a comprehensive benefits package, including Private Medical, Dental and Travel Insurance cover, Life Assurance, Annual Gym Allowance, Contributory Pension Scheme, 25 days annual leave, Discretionary Bonus, and more. This is a full-time position, with the successful candidate being required to attend the London office 4 days per week.


• Degree level education in a numerate subject, preferably in Economics, Engineering, IT, Science or Mathematics.
• Database (SQL) / coding / system knowledge and experience.
• Commodities/Derivatives experience in a similar trading organization.
• Minimum 4-5 years' experience preferred.
• Proven quantitative and programmatic skills.
• A strong grasp of mathematics is a must with strong analytical skills.
• Proven track record of developing and applying quantitative models to complex gas and/or power deals (e.g. gas storages, virtual power plants).
• Ability to think logically and problem solve is key.
• Interest in commodities, traded markets and/or energy transition important.
• Be a self-starter as well as a team player.
• Willingness and ability to work and deliver on timelines.
• Be diligent and dedicated to manage ad-hoc analysis and projects in a timely manner.
  
  This role offers a competitive salary (commensurate with experience), plus a comprehensive benefits package, including Private Medical, Dental and Travel Insurance cover, Life Assurance, Annual Gym Allowance, Contributory Pension Scheme, 25 days annual leave, Discretionary Bonus, and more. This is a full-time position, with the successful candidate being required to attend the London office 4 days per week.
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