At a Glance
- Tasks: Develop and validate risk models while mentoring fellow analysts.
- Company: SEFE, a leading international energy company focused on sustainability.
- Benefits: Competitive salary, bonus potential, generous holiday, and flexible benefits.
- Other info: Join a diverse team committed to your professional growth.
- Why this job: Make a real impact in energy solutions while advancing your career.
- Qualifications: Master’s in Maths or Physics; coding skills in Python and C# preferred.
The predicted salary is between 55000 - 70000 £ per year.
In the role, the analyst has responsibility for delivery of key projects and a mentoring role to other analysts. The team fulfils three main functions in SEFE:
- The role must ensure the independent validation of relevant valuation and exposure models developed by commercial teams and used by Risk Management & Middle Office in Economic valuations, on the Balance sheet, or in Risk Models.
- Quantitative Risk Models must be developed, maintained and documented as required.
- Support must be provided on quantitative topics to the rest of Risk Management & Middle Office as needed.
WHAT WILL YOU DO
- Maintain appropriate documentation for SEFE Risk Management models.
- Develop, test and maintain relevant Risk models and methodologies required to support the SEFE Group Risk Framework, including MVaR, CMaR, CVaR, PFE.
- Deliver independent review/validation of relevant valuation and exposure models (P&L and Balance Sheet related).
- Ensure quantitative concepts are clearly understood and appropriately implemented by SEFE Risk Management and Middle Office.
- Manage response to investigation of quantitative aspects of valuation during external audit or third‑party assurance projects.
- Mentor other analysts in the team, leading in establishing standards and best practice for technical aspects of the team.
- Support Head of Quantitative Risk with team development and recruitment.
WHAT WILL YOU BRING
- Master’s degree or similar qualification in Maths or Physics to degree level essential.
- Post‑graduate qualification in Financial modelling highly advantageous.
- Strong understanding of valuation methodologies and risk metric calculation as applied to derivatives trading.
- In‑depth knowledge of probability theory, stochastic calculus, time series and differential equation techniques to financial problems.
- In‑depth understanding of Monte Carlo risk modelling methodologies – Market and Credit VaR, PFE and EaR.
- High level of attention to detail to challenge analysis and methodologies to identify weaknesses and limitations to improve results/approaches.
- Extensive knowledge of coding languages, preferably Python and C#.
- Communication of complicated concepts in a simple way to non‑expert stakeholders, and explain the relevance of highly technical analysis.
- Management of concurrent diverse projects with ability to adapt to new topics not previously encountered.
- Experience of valuation methodologies and risk metric models for derivatives products.
- Experience of developing and maintaining Market and Credit risk models using Monte Carlo techniques.
ABOUT US
SEFE is an international energy company anchored in Europe, delivering energy solutions that ensure reliable and affordable supply. Our activities span the entire energy value chain – from origination and trading to sales, transport and storage. With decades of trading expertise and a growing LNG portfolio, SEFE is one of Europe’s leading suppliers to industrial customers, providing more than 200 TWh of gas and power each year. We supply over 50,000 clients, from small businesses to municipalities and multinational organisations. By investing in clean energies, we support our customers on their decarbonisation journey and contribute to the energy transition. SEFE employs over 2,000 people worldwide and is owned by the Federal Government of Germany.
OUR BENEFITS
- We’re committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience.
- Whatever your role, you’ll find an open, welcoming atmosphere that empowers you, and recognises your contribution.
- In return we are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.
- Bonus earning potential.
- Non‑contributory pension with 10% employer contribution.
- 25 days holiday plus bank holidays and volunteering days.
- Buy/sell holidays.
- Life assurance.
- Medical and dental insurance (family cover).
- Range of optional flexible benefits.
Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.
Quantitative Risk Analyst (m/f/d) employer: SEFE Energy GmbH
Contact Detail:
SEFE Energy GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst (m/f/d)
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative risk analysis. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects or case studies that highlight your expertise in risk modelling and valuation methodologies. This will give you an edge and demonstrate your practical knowledge to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Risk Analyst (m/f/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your relevant experience in risk modelling, valuation methodologies, and any coding skills you have. We want to see how your background fits with what we do at SEFE!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative risk analysis and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in Python and C#. If you've worked on Monte Carlo simulations or other risk models, make sure to include that. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us at SEFE!
How to prepare for a job interview at SEFE Energy GmbH
✨Know Your Models Inside Out
Make sure you’re well-versed in the valuation and exposure models relevant to the role. Brush up on MVaR, CMaR, CVaR, and PFE methodologies. Being able to discuss these confidently will show your expertise and readiness for the position.
✨Showcase Your Mentoring Skills
Since mentoring is a key part of this role, think about examples from your past where you've guided others. Be prepared to discuss how you can help establish standards and best practices within the team.
✨Communicate Complex Concepts Simply
You’ll need to explain complicated quantitative concepts to non-experts. Practice breaking down technical jargon into simple terms. This will demonstrate your ability to bridge the gap between technical analysis and practical application.
✨Demonstrate Attention to Detail
Highlight your experience in challenging analyses and identifying weaknesses in methodologies. Bring examples of how your attention to detail has led to improved results or approaches in your previous roles.