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Senior Quant Risk Analyst - Hybrid, Mentoring & Growth

SEFE Storage GmbH

Greater London

Hybrid

GBP 80,000 - GBP 100,000

Full time

Today
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Job summary

A leading international energy company in the United Kingdom is seeking a Senior Quantitative Risk Analyst (m/f/d) to lead crucial projects and mentor a team of analysts. You will be responsible for developing and maintaining risk models, ensuring documentation is accurate and supporting the Risk Management function. The ideal candidate will hold a Master’s degree in Mathematics or Physics and demonstrate strong analytical skills in valuation methodologies and risk metrics. A competitive salary and benefits are offered, along with opportunities for hybrid working.

Benefits

Bonus earning potential
Non-contributory pension with 10% employer contribution
25 days holiday plus bank holidays
Buy/sell holidays
Life assurance
Medical and dental insurance (family cover)
Range of optional flexible benefits

Qualifications

  • Master's degree or similar qualification in Maths or Physics.
  • Strong understanding of valuation methodologies and risk metrics.
  • In-depth knowledge of probability theory and stochastic calculus.
  • Experience in validation methodologies for derivatives products.

Responsibilities

  • Maintain documentation for risk management models.
  • Develop and test relevant risk models to support the SEFE Group Risk Framework.
  • Deliver independent review/validation of valuation models.
  • Mentor other analysts and assist with team development.

Skills

Valuation methodologies
Risk metric calculation
Stochastic calculus
Monte Carlo risk modelling
Attention to detail
Python
C#
Communication
Project management

Education

Master's degree in Maths or Physics
Post graduate qualification in Financial modelling
Job description
A leading international energy company in the United Kingdom is seeking a Senior Quantitative Risk Analyst (m/f/d) to lead crucial projects and mentor a team of analysts. You will be responsible for developing and maintaining risk models, ensuring documentation is accurate and supporting the Risk Management function. The ideal candidate will hold a Master’s degree in Mathematics or Physics and demonstrate strong analytical skills in valuation methodologies and risk metrics. A competitive salary and benefits are offered, along with opportunities for hybrid working.
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