At a Glance
- Tasks: Design and implement models for commodity trading strategies and risk assessment.
- Company: Global hedge fund expanding its commodities division in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and technology integration.
- Why this job: Join a leading firm and make an impact in the commodities market with your quantitative skills.
- Qualifications: 10+ years in quantitative roles with advanced degrees in relevant fields.
The predicted salary is between 72000 - 108000 € per year.
We are working with a global hedge fund that is expanding their commodities division and looking for a Senior Quant to work closely with both investment and risk teams to design, refine, and implement models that underpin commodity trading strategies and the broader growth of the business.
Key Responsibilities
- Design and deploy valuation frameworks for complex commodity derivatives and bespoke structured deals.
- Build and enhance modelling approaches used to assess risk in commodity markets, including methodologies for curve construction and volatility surface generation.
- Upgrade and expand the existing suite of risk reporting tools, spanning P&L attribution, portfolio diagnostics, and other regular or on‑demand analyses.
- Develop techniques for both backward‑looking and hypothetical stress-testing, and interpret the outputs using consistent quantitative measures.
- Collaborate with Risk Management to calibrate, configure, and improve risk systems.
- Apply quantitative techniques to issues such as liquidity assessment, cost‑to‑liquidate estimates, and other market‑risk topics.
- Support the broader firm‑wide risk group by contributing commodity‑related insights and occasionally performing analysis on non‑commodity portfolios or assessing cross‑portfolio interactions.
- Provide input to the Global Risk Committee on key market drivers and emerging risks across relevant sectors.
- Partner with Technology to automate workflows and ensure research tools and reporting engines integrate seamlessly with existing platforms.
- Assist in onboarding new products and portfolios from a risk analytics perspective.
Required Qualifications
- More than a decade of experience in a commodities‑focused quant, strategy, or quantitative risk role at a trading house, bank, hedge fund, utility, or similar institution.
- Advanced academic training (Master’s/PhD) in a quantitative discipline such as mathematics, physics, engineering, statistics, finance, or economics.
- Expertise in modelling and valuing physical commodity assets and structured products, including storage, power tolling, transmission, and comparable structures.
- Strong background in quantitative support for complex commodities trading books, including portfolio construction and optimisation.
- Familiarity with multiple commodity markets (ideally across regions): power, congestion, natural gas, crude, refined products, energy assets, agriculture, structured trades, shipping, etc.
- Understanding of seasonality effects in commodity‑specific risk models.
- Proficiency in Python and SQL, with solid experience using numerical libraries such as NumPy and pandas.
- Demonstrated analytical, problem‑solving, and communication strengths, with the ability to work effectively in a collaborative environment.
Preferred Skills
- Advanced Python capabilities (virtual environment management, packaging/release workflows, multiprocessing, etc.).
- Experience building dashboards or visual tools, particularly using Plotly Dash.
- Background in hedge funds or asset managers with exposure to factor analytics or systematic futures strategies.
- Experience with fundamental modelling approaches.
- Knowledge of machine learning techniques, PCA, factor decomposition methods for risk and P&L, and related quantitative techniques.
Senior Quant Researcher (Commodities) employer: Vallum Associates
Join a leading global hedge fund in London, where innovation meets collaboration. As a Senior Quant Researcher, you'll thrive in a dynamic work culture that values analytical excellence and fosters professional growth through challenging projects and cross-functional teamwork. With competitive benefits and a commitment to employee development, this role offers a unique opportunity to shape the future of commodities trading while working alongside industry experts in a vibrant financial hub.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Researcher (Commodities)
✨Network Like a Pro
Get out there and connect with people in the commodities space! Attend industry events, join relevant online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your quantitative skills and experience with commodity markets. Bring examples of your work or projects that showcase your expertise in modelling and risk assessment. We want to see how you can add value to their team!
✨Prepare for Technical Interviews
Brush up on your Python and SQL skills, as well as your understanding of quantitative techniques. Be ready to tackle some technical questions or case studies during interviews. We recommend practising with friends or using online resources to sharpen your problem-solving abilities.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us can give you an edge, as we’re always looking for passionate candidates who fit the bill. Let’s make your next career move a successful one together!
We think you need these skills to ace Senior Quant Researcher (Commodities)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Quant Researcher role. Highlight your experience in commodities and quantitative analysis, and don’t forget to showcase any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific skills like your expertise in Python and SQL, and how they relate to the responsibilities outlined in the job description.
Showcase Your Quant Skills:Since this role requires strong quantitative skills, be sure to include examples of your work with modelling and risk assessment. If you've developed any innovative solutions or tools, mention those too!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Vallum Associates
✨Know Your Quant Skills Inside Out
Make sure you can confidently discuss your experience in quantitative modelling and risk assessment. Brush up on your knowledge of commodity derivatives and be ready to explain how you've applied these skills in previous roles.
✨Showcase Your Technical Proficiency
Be prepared to demonstrate your expertise in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used numerical libraries like NumPy and pandas in your work, so have some examples ready.
✨Understand the Market Landscape
Familiarise yourself with current trends and challenges in the commodities market. Be ready to discuss how seasonality affects risk models and share insights on key market drivers that could impact trading strategies.
✨Collaborate and Communicate
Highlight your ability to work in a team and communicate complex ideas clearly. Prepare examples of how you've collaborated with risk management or technology teams to improve systems or automate workflows, as this is crucial for the role.
