Senior Quantitative Risk Analyst
- Recruiter
- Richard James Recruitment Specialists Ltd
- Location
- London, United Kingdom
- Salary
- Competitive
- Posted
- 22 Jan 2023
- Closes
- 21 Feb 2023
- Ref
- 17908590
- Job Function
- Commodities
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
- Validate front office pricing and valuation models used to calculate end of day MtM and Greeks covering a wide range of products: PPA, virtual power plants, spread options, weather derivatives, hydro storages, pump storages, swing contracts and gas storages using a wide range of mathematical models (e.g. least-square Monte Carlo, stochastic dynamic programming)
- Validate non observable market parameters calibration with statistical analysis using Python
- Validate and monitor exotic deals booking approximations
- Develop our internal Model Validation library to independently validate models and fully understand their strengths and weaknesses
- Provide quantitative support to the risk teams on risk methodologies
- Provide ad hoc analysis as directed by Head of Quantitative Risk Methods & Model Validation, in particular assessing modelling of new business
- Provide quantitative analytical support to global businesses
- Stay abreast of latest development in quantitative modelling and proactively seek to apply best practice
Experience required
- At least 2 years experience in a quantitative / risk management role for an energy trading company or investment bank
- MSc or PhD in financial mathematics, mathematics or physics
- Expertise in options pricing theory and financial mathematics
- Strong experience in model development, programming and maintenance of model libraries
- Knowledge of energy commodities and derivatives products
Technical requirements
- Strong programming skills in Matlab, Python or equivalent
- Proficient with Microsoft Office products
Person specification
- Excellent analytical skills
- Strong communication skills
- Ability to manage multiple work streams in an environment of often conflicting pressures
- Strong focus on accuracy of information
- Experience of working in a fast paced environment is essential
- Proactive, with intellectual curiosity to identify and explain anomalies