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Quantitative Risk & Data Analyst

Richard James Recruitment Specialists Ltd
London
5 days ago
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Our client is a trader of Commodity and Energy products including, Gas, Power, LNG and Oil, based in Central London. They offer a unique chance to work within a growing and diversifying business, with a strong commercial appetite.


Working as part of the wider Commercial risk team, we are seeking a Quantitative minded professional with experience in the Power/Gas trading industry. The successful candidate will work closely with the traders, in hybrid role, look at both Quantitative Analysis, risk management and systems development.


ROLE RESPONSIBILTIES:


  • 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.


EDUCATION, SKILLS &EXPERIENCE REQUIRED:


  • Degree level education in a numerate subject, preferably in Economics, Engineering, IT, Sciences, Maths
  • Database (SQL) / coding / system knowledge and experience
  • Commodities/Derivatives experience in trading organization, 4 years plus
  • Proven quantitative and programmatic skills
  • Database (SQL) / coding / system knowledge
  • A strong grasp of mathematics 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 / 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

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National AI Awards 2025

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