Head of Quantitative Analysis (f/m/d)
at Statkraft
Düsseldorf, Nordrhein-Westfalen, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 12 Jul, 2024 | Not Specified | 13 Apr, 2024 | N/A | Economics,English,Risk,Financial Risk Management,Mathematics,Quantitative Finance,Physics,Renewable Energy,Personal Development,Mathematical Statistics,Python,Computer Science,Working Environment,Energy Derivatives,Energy Markets | No | No |
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Description:
COMPANY DESCRIPTION
Statkraft has been making clean energy possible for over a century. That is what we offer. 125 years of unrivalled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we do not see renewable energy as part of the solution – we believe it must be the solution. With us, you will shape a career that is truly forward-facing with many amazing opportunities and offerings to match.
But there is more work to be done – that is why we need you to join!
The purpose of the Risk department in Market Operations is to secure satisfactory risk evaluation and risk communication to enable Statkraft Trading & Origination and asset optimization business. Our responsibilities include P&L and risk reporting, risk management support, development of the risk models, risk methodologies and risk framework. Part of the enablers to ensure the success of Statkraft growth strategy is to have a strong risk team.
The Risk Modelling team is part of the risk department and is responsible for the development and maintenance of the risk models that are used for valuating Statkraft Trading & Origination non-standard contracts and portfolios. This includes the modelling of long-term renewable power purchase contracts and assets.
JOB DESCRIPTION
- 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
- Support the valuation of large complex commodity transactions
QUALIFICATIONS
- 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
- Fluent in English, both written and spoken
Responsibilities:
- Professional and personal development in a company experiencing strong growth
- A positive working environment characterized by expertise, responsibility, and innovation
- A diverse workplace with regard to gender, age and cultural background
- Unlimited learning opportunities at various levels of the organisation including LinkedIn Learning and inspiring leaderships programs
- Competitive terms of employment and benefit scheme
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Financial Services
Accounts / Finance / Tax / CS / Audit
Finance
Graduate
Physics mathematics computer science or natural engineering or economics with a quantitative specialisation
Proficient
1
Düsseldorf, Germany