At a Glance
- Tasks: Develop and enhance quantitative models for trading physical energy products.
- Company: Leading financial institution expanding its European commodities division.
- Benefits: Competitive salary up to £350,000, onsite work in Central London.
- Other info: Opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the energy trading sector.
- Qualifications: Experience in physical energy markets and strong quantitative skills required.
A leading financial institution is expanding its European commodities division and is seeking a Quantitative Analyst to join its Power & Gas trading team. While the role is primarily focused on power and gas, candidates with strong experience across other physical energy markets (LNG, oil, coal, renewables) will also be considered. Physical market knowledge is essential.
Key Responsibilities:
- Develop and enhance quantitative models to support the trading of physical energy products, with a particular focus on power and gas.
- Build and maintain tools to optimize physical trading strategies, asset-backed arbitrage, and cross-border opportunities.
- Support traders by providing quantitative insights into exposures, hedging strategies, and physical optionality.
- Improve and scale existing models and risk infrastructure to capture the complexities of physical positions, including storage, transportation, and capacity.
- Ensure robustness and reliability of analytics in live market conditions.
- Document methodologies and communicate model assumptions across trading, risk, and technology teams.
Requirements:
- Proven experience in physical energy markets (power, gas, LNG, oil, coal, or renewables).
- Strong academic background in a quantitative discipline (Mathematics, Physics, Engineering, or similar at MS/PhD level).
- Experience developing and implementing quantitative models for trading and risk management.
- Previous front-office exposure, working closely with physical traders.
- Knowledge of derivatives pricing and hedging strategies in the context of physical positions and asset-backed trading.
- Strong programming ability in Python and/or C++, with a track record of delivering production-level tools.
Quantitative Analyst - Physical Energy Markets in London employer: ANSON MCCADE
As a leading financial institution located in the heart of Central London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive compensation packages, comprehensive professional development opportunities, and the chance to work alongside industry experts in the rapidly evolving physical energy markets. Join us to be part of a forward-thinking team where your contributions directly impact our trading strategies and success.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst - Physical Energy Markets in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector on LinkedIn or at industry 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 brushing up on your quantitative skills and market knowledge. We recommend practising common interview questions related to physical energy markets, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your career goals. Use our website to find roles that excite you, and tailor your approach to each company’s culture and values.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We believe showing appreciation for the opportunity can set you apart from other candidates.
We think you need these skills to ace Quantitative Analyst - Physical Energy Markets in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience in physical energy markets and any relevant quantitative skills. We want to see how your background aligns with our needs!
Showcase Your Skills:In your cover letter, don’t just list your qualifications—show us how you’ve applied them in real-world scenarios. Use specific examples that demonstrate your expertise in developing quantitative models and working with traders.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure your passion for the energy sector shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Markets
Make sure you brush up on your knowledge of physical energy markets, especially power and gas. Be prepared to discuss recent trends, market dynamics, and how they impact trading strategies. This will show that you're not just a numbers person but also understand the broader context.
✨Showcase Your Technical Skills
Since programming in Python and/or C++ is crucial for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss past projects where you developed quantitative models. Bring examples of your work to the interview if possible!
✨Communicate Clearly
You’ll need to explain complex quantitative concepts to traders and risk teams. Practice articulating your thought process and methodologies clearly. Use simple language to describe your models and assumptions, as effective communication is key in a collaborative environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your analytical thinking and problem-solving skills. Think about how you would approach real-world trading situations, such as optimising a trading strategy or managing risk in volatile markets. This will help you demonstrate your practical understanding of the role.
