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- Tasks: Join our team to build innovative trading and risk models for commodities.
- Company: Dynamic firm focused on commodities risk management and analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the commodities market with your quantitative skills.
- Qualifications: 10+ years in quantitative roles with strong programming skills in Python and SQL.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 72000 - 108000 £ per year.
We are looking for an outstanding Quantitative Researcher to join our Commodities Risk Management team reporting to the Head of Commodities Risk Analytics and Risk Advisory. The Commodities Quantitative Researcher will partner with the risk and investment teams to build Commodity trading and risk models to help grow the business.
Responsibilities Include:
- Formulate and implement pricing models for complex commodity derivatives and structured transactions.
- Formulate and implement models for risk analysis of commodity products and derivatives, such as methodologies for constructing term structures and volatility surfaces.
- Improve and extend existing risk reporting tools, including risk analysis, P&L attribution, and portfolio construction, with focus on both regular periodic reporting and ad-hoc requests.
- Develop methodologies and procedures to conduct historical and hypothetical stress testing, as well as analysis of the results using standardized statistical metrics.
- Work with Risk Management to configure and calibrate risk systems.
- Apply quantitative methods to solve risk topics, such as estimating market liquidity and liquidation costs.
- Contribute to overall risk management team at BAM in risk analytics, processes, and reporting. This may involve ad-hoc risk analysis for portfolios that are not commodities-focused or investigation of impact of a commodities-focused portfolio to the overall risk of the firm.
- Contribute to Global Risk Committee’s understanding of risk drivers and considerations in related markets.
- Work with the technology team to automate, maintain, and enhance integration of research and reporting solutions into the existing infrastructure.
- Work with risk management to onboard new portfolios and products.
Requirements:
- 10+ years of experience as a commodities quant, strategist, or quantitative risk officer, at a hedge fund, bank, commodity trading house, or utility.
- Strong academic background (masters/doctorate) in quantitative fields such as math, physics, engineering, statistics, economics, or finance.
- Skilled in valuing and modeling physical commodity assets and structured transactions, such as gas or oil storage, power tolls, transmission, etc.
- Skilled in providing quantitative modelling and trading risk support to manage complex financial commodities trading portfolios, including analytics for portfolio optimization and construction.
- Experience with as many of the following commodities (across different geographical locations) as possible: electricity, congestion markets, natural gas, crude oil, oil products, energy assets, agricultural commodities, structured transactions, shipping.
- Experience with seasonality in commodities risk models.
- Strong programming skills in Python and SQL. Must be familiar with numeric libraries such as pandas, numpy, etc.
- Strong problem-solving skills.
- Enjoy working in a collaborative environment and able to communicate complex ideas clearly.
Nice to have:
- Advanced Python knowledge including management of virtual environments, release process, or multi-processing.
- Experience developing Plotly Dash dashboards and other data visualization tools.
- Experience working at a hedge fund or other asset management firms with exposure to systematic futures strategies or factor model analytics.
- Experience with fundamental modelling.
- Experience with factor analysis, PCA, decomposition models for P&L and risk, machine learning.
Commodities Senior Quantitative Researcher employer: Balyasny Asset Management L.P.
Contact Detail:
Balyasny Asset Management L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodities Senior Quantitative Researcher
✨Network Like a Pro
Get out there and connect with folks in the commodities space! Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with quantitative modelling and risk analysis. Use real examples to demonstrate how you've tackled complex problems in the past.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their current projects and challenges, and be ready to discuss how your skills can help them succeed in the commodities market.
✨Apply Through Our Website
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 our team at StudySmarter.
We think you need these skills to ace Commodities Senior Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Commodities Senior Quantitative Researcher. Highlight your experience in quantitative research, risk management, and any relevant commodities expertise. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about commodities and how your skills can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to highlight your proficiency in Python and SQL. If you've worked with libraries like pandas or numpy, give us examples of how you've used them in your previous roles.
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 submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Balyasny Asset Management L.P.
✨Know Your Models Inside Out
Make sure you can explain the pricing models and risk analysis methodologies you've worked on. Be ready to discuss how you've implemented these in real-world scenarios, especially with complex commodity derivatives.
✨Brush Up on Your Programming Skills
Since strong programming skills in Python and SQL are crucial, practice coding problems related to data manipulation and quantitative analysis. Familiarise yourself with libraries like pandas and numpy, as you might be asked to demonstrate your proficiency.
✨Prepare for Technical Questions
Expect questions that test your understanding of market liquidity, stress testing methodologies, and portfolio construction. Review key concepts and be prepared to solve problems on the spot, showcasing your analytical thinking.
✨Showcase Your Collaborative Spirit
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you've made complex ideas accessible to others.