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- Tasks: Design and develop cutting-edge risk metrics tools for energy trading.
- Company: Join EDF Trading, a leader in sustainable energy solutions.
- Benefits: Enjoy hybrid working, private health insurance, gym memberships, and more.
- Why this job: Make a real impact in the evolving energy market with a diverse team.
- Qualifications: 3+ years in quantitative risk management; PhD or MSc in relevant fields.
- Other info: Collaborative environment with excellent career growth and networking opportunities.
The predicted salary is between 48000 - 72000 £ per year.
When you join EDF Trading, you will become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box. Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products. EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management.
Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do. Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.
Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.
Job Description Department: The Quant Risk team delivers quantitative analysis to the Risk Group, provides independent assessments of EDF Trading's pricing models and designs, develops and enhances EDF Trading's Risk Metrics calculations (VaR, PFE, CaR, DV01 ...). The department is organised into 2 teams, one team responsible for implementing EDF Trading's model validation framework and one team in charge of EDF Trading risk metrics calculations.
Position purpose: You will be a member of the Risk Metrics team, responsible for developing EDF Trading risk metrics tools.
- Responsible for designing, developing, and maintaining EDF Trading's quantitative risk metrics calculations (VaR, PFE, CaR, DV01 ...)
- Work collaboratively with Market Risk, Credit Risk, Risk IT, the Quant Team, Treasury, and IT to deliver enhancements to EDF Trading Risk Metrics calculations and prepare EDF Trading's risk metrics platform for the future
- Provide quantitative support to global risk teams, to Risk Control on quantitative analysis requested to support their daily publication of VaR, Credit Risk to support their publication of PFE and Treasury for Cash-at-Risk
- Stay current with state-of-the-art latest quantitative modelling and proactively look to apply best practice
Experience required:
- At least 3 years experience in a quantitative/risk management role for an energy trading company, investment bank, fintech or trading house
- PhD or MSc in financial mathematics, applied mathematics or physics or similar experience
- Proven track records of model development
- Strong experience in model design, programming, and maintenance of model libraries
- Expertise in options pricing theory and financial mathematics
- Knowledge of energy commodities and derivatives products
Technical requirements:
- Experienced in developing and supporting production risk models (VaR, PFE, CaR...)
- Good understanding of energy commodities and energy derivatives instruments
- Strong knowledge of stochastic calculus
- Strong programming skills in Python, MATLAB, SQL or equivalent.
- Skilled in modern source control and development best practices (e.g. TFS, GitHub, GitLab)
- Proficient with Microsoft Office products
Person specification:
- Excellent analytical skills
- Strong attention to detail and focus on accuracy of information
- Ability to manage multiple work streams in a trading environment of diverse and often conflicting pressures
- Effective communication skills, with ability to articulate technical knowledge and complex concepts into clear concise analysis
- Experience of working in a fast-paced environment is essential
- Proactive
Hours of work: 40 hours per week, Monday to Friday
Senior Quantitative Risk Analyst employer: EDF Trading Limited
Contact Detail:
EDF Trading Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EDF Trading on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills and energy market knowledge. We recommend practising common interview questions related to risk metrics and model development to show you're ready to hit the ground running.
✨Tip Number 3
Show off your passion for energy trading! During interviews, share your thoughts on current trends in the energy market and how they might impact risk management. This will demonstrate your enthusiasm and industry knowledge.
✨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 EDF Trading family.
We think you need these skills to ace Senior Quantitative Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Risk Analyst role. Highlight your experience in quantitative risk management and any relevant projects you've worked on. We want to see how your skills align with what we do at EDF Trading!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about energy trading and how your background makes you a perfect fit for our team. Don’t forget to mention specific skills like programming in Python or your knowledge of energy commodities.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and attention to detail. We love candidates who can articulate complex concepts clearly, so include examples of how you've done this in past roles or projects.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at EDF Trading Limited
✨Know Your Numbers
As a Senior Quantitative Risk Analyst, you'll need to be comfortable with metrics like VaR, PFE, and CaR. Brush up on these concepts and be ready to discuss how you've applied them in your previous roles. Show that you can not only calculate these metrics but also explain their significance in risk management.
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python, MATLAB, or SQL during the interview. Be prepared to discuss specific projects where you've developed or maintained risk models. If possible, bring examples of your work or describe challenges you faced and how you overcame them.
✨Understand the Energy Market
EDF Trading operates in a fast-paced energy market, so it's crucial to demonstrate your knowledge of energy commodities and derivatives. Research current trends and recent developments in the energy sector, and be ready to discuss how they might impact risk management strategies.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex quantitative concepts in simple terms. During the interview, focus on articulating your thought process clearly, especially when discussing technical topics. This will show that you can collaborate effectively with non-technical teams.
