Risk Modelling Lead

2 days ago


Oslo, Oslo County, Norway TN Norway Full time
Job Description

This role requires a highly motivated individual with exceptional leadership skills to lead our risk modelling team. The successful candidate will be responsible for enhancing our risk models, developing new risk models, maintaining and enhancing our forward curve tools and methodology, and aligning development of new tools with main stakeholders.

Key Responsibilities:
  • Lead and develop a team of eight quantitative risk analysts across our Amsterdam, Düsseldorf and Oslo offices
  • Enhance our risk models for the liquid time horizon across a wide range of European power markets and related commodities
  • Develop risk models for the semi-liquid and illiquid time horizon for renewable assets and renewable off-take agreements by combining stochastic modelling with fundamental market modelling
  • Maintain and enhance our forward curve tools and methodology
  • Align development of new tools with main stakeholders (market, credit, and liquidity risk, front office and IT)
  • Introduce big data science methods to the energy risk tool kit
Requirements:
  • Outstanding university degree (Master/PhD) in physics, mathematics, computer science or natural, engineering, or economics with a quantitative specialisation
  • Minimum 5 years of professional experience in financial risk management ideally in energy markets
  • Strong commercial mindset and some Front Office experience desirable
  • Extensive knowledge in the field of quantitative finance and risk (e.g., mathematical statistics, big data methods, stochastic modelling, simulation techniques, optimization methods, energy derivatives)
  • First experience as a team lead in a quantitative field
  • Significant IT knowledge coupled with strong programming skills preferably in Python
  • Business oriented and able to find the right balance between good-enough and perfect solutions
  • Ability to communicate effectively about complex risk issues with all levels of the organisation


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