Quantitative Risk & Data Analyst

Richard James Recruitment
London
7 months ago
Applications closed

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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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