At a Glance
- Tasks: Deliver key projects and mentor fellow analysts in quantitative risk.
- Company: Join SEFE, a leading international energy company focused on sustainability.
- Benefits: Enjoy competitive salary, bonus potential, and extensive benefits including 25 days holiday.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact in energy solutions while developing your skills in a dynamic environment.
- Qualifications: Master's in Maths or Physics; coding skills in Python and C# are essential.
The predicted salary is between 60000 - 80000 ÂŁ 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. Firstly, 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. Secondly, Quantitative Risk Models must be developed, maintained and documented as required. Lastly, 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 thirdâparty 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. Postâgraduate qualification in Financial modelling highly advantageous.
- Strong understanding of valuation methodologies and risk metric calculation as applied to derivatives trading.
- Inâdepth knowledge of probability theory, stochastic calculus, time series and differential equation techniques to financial problems.
- Inâdepth understanding of Monte Carlo risk modelling methodologies â 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 nonâexpert 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 â 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
- Nonâcontributory 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
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. Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.
Quantitative Risk Analyst (m/f/d) in London employer: SEFE Energy GmbH
Contact Detail:
SEFE Energy GmbH Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Quantitative Risk Analyst (m/f/d) in London
â¨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant events. Building connections can lead to insider info about job openings and even referrals.
â¨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of risk models. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-experts.
â¨Tip Number 3
Showcase your coding skills! If youâre proficient in Python or C#, be ready to discuss your projects or even demonstrate your coding abilities during interviews. This will set you apart from other candidates.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at SEFE.
We think you need these skills to ace Quantitative Risk Analyst (m/f/d) in London
Some tips for your application đŤĄ
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 â we love a good story!
Showcase Your Technical Skills: Donât forget to mention your technical skills, especially in Python and C#. Weâre looking for someone who can develop and maintain risk models, so make sure to highlight any relevant projects or experiences that demonstrate your expertise.
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 donât miss out on any important updates from us at SEFE!
How to prepare for a job interview at SEFE Energy GmbH
â¨Know Your Models Inside Out
Make sure you have a solid understanding of the valuation and exposure models relevant to the role. Be prepared to discuss how you've validated or developed these models in the past, as well as any challenges you faced and how you overcame them.
â¨Brush Up on Your Coding Skills
Since extensive knowledge of coding languages like Python and C# is essential, ensure you're comfortable discussing your coding experience. Bring examples of projects where you've used these languages to develop or maintain risk models, and be ready to demonstrate your problem-solving skills.
â¨Communicate Complex Concepts Simply
Practice explaining complicated quantitative concepts in a straightforward manner. You might be asked to present your analysis to non-expert stakeholders, so being able to break down technical jargon into digestible information will set you apart.
â¨Showcase Your Mentoring Experience
As mentoring other analysts is part of the role, think of examples where you've guided or supported colleagues. Highlight your leadership style and how you establish best practices within a team, as this will demonstrate your ability to contribute to team development.