At a Glance
- Tasks: Lead key projects and mentor fellow analysts in quantitative risk.
- Company: Join SEFE, a forward-thinking energy company driving sustainability.
- Benefits: Competitive salary, hybrid work model, and generous holiday allowance.
- Other info: Dynamic team with opportunities for growth and development.
- Why this job: Make a real impact in energy security and transformation.
- Qualifications: Master's in Maths or Physics; coding skills in Python and C#.
The predicted salary is between 36000 - 60000 £ 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:
- 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.
- Develop, maintain and document Quantitative Risk Models as required.
- Provide support 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
Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future.
SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport, and storage. Through its decades-long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany.
Our international teams work across locations in Europe, Asia, and North America. We’re passionate about energy and the important role it can play in shaping a better future. Securing energy – now and for the future.
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 offer a competitive starting salary supported by a comprehensive range of financial, lifestyle and wellness benefits with the flexibility to follow a hybrid working model.
Quantitative Risk Analyst (m/f/d) in London employer: SEFE Marketing & Trading Ltd
SEFE is an exceptional employer that prioritises the professional growth of its employees while fostering a collaborative and inclusive work culture. As a Quantitative Risk Analyst, you will not only engage in critical projects but also have the opportunity to mentor fellow analysts, all within a dynamic environment that supports innovation in the energy sector. With competitive salaries, comprehensive benefits, and a commitment to sustainability, SEFE offers a rewarding career path for those looking to make a meaningful impact in the energy transition.
Contact Details:
SEFE Marketing & Trading Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst (m/f/d) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SEFE on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss your experience with risk models and valuation methodologies, as these will be key topics during your chat.
✨Tip Number 3
Show off your coding chops! If you’ve got experience with Python or C#, make sure to highlight it. Being able to communicate complex concepts simply is a big plus, so practice explaining your work to non-experts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the SEFE team.
We think you need these skills to ace Quantitative Risk Analyst (m/f/d) in London
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 and valuation methodologies, and don’t forget to mention your coding skills in Python and C#. We want to see how you fit into our team!
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 background aligns with our mission at SEFE. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:In this role, technical expertise is key. Be sure to detail your knowledge of Monte Carlo risk modelling and any experience you have with derivatives trading. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at SEFE. Don’t miss out on this opportunity!
How to prepare for a job interview at SEFE Marketing & Trading Ltd
✨Know Your Models Inside Out
Make sure you’re well-versed in the valuation and exposure models relevant to the role. Brush up on your understanding of MVaR, CMaR, and CVaR, as well as Monte Carlo risk modelling methodologies. Being able to discuss these concepts confidently will show that you’re ready to hit the ground running.
✨Show Off Your Coding Skills
Since extensive knowledge of coding languages like Python and C# is essential, be prepared to discuss your experience with these tools. Bring examples of how you've used coding to develop or maintain risk models, and if possible, demonstrate your problem-solving approach during the interview.
✨Communicate Complex Ideas Simply
You’ll need to explain complicated quantitative concepts to non-expert stakeholders. Practice articulating your thoughts clearly and concisely. Use analogies or simple terms to convey your points, which will highlight your communication skills and ability to mentor others.
✨Prepare for Scenario Questions
Expect questions that assess your ability to manage concurrent projects and adapt to new topics. Think of examples from your past experiences where you successfully navigated challenges or led a team. This will demonstrate your leadership qualities and readiness to support the Head of Quantitative Risk.