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- Tasks: Collaborate with traders and analysts to generate market insights and actionable trade ideas.
- Company: Dynamic investment firm focused on commodities and quantitative research.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and teamwork.
- Why this job: Dive into the exciting world of commodities and make a real impact with your research.
- Qualifications: PhD, MSc, or BSc in a quantitative field; strong C++ and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Directly work with portfolio managers, traders, and fundamental analysts to generate differentiated market insights and actionable trade ideas.
Key Responsibilities:
- Contribute to the research architecture and analytics platform used by the investment team.
Qualifications & Requirements:
Education: PhD, MSc, or BSc in a highly quantitative discipline such as mathematics, physics, computer science, engineering, statistics, economics, or operations research.
Technical Skills:
- Strong C++ skills, with experience building high-performance analytical libraries and models.
- Strong Python skills for research, prototyping, data analysis, and workflow orchestration.
- Experience designing and integrating models into front office risk platforms and pricing tools.
Experience: At least 5 years of experience in a quantitative research, commodities, logistics, or applied modeling environment.
Quantitative / Research Skills:
- Strong grounding in probability, statistics, linear algebra, optimization, and numerical methods.
- Experience with quantitative approaches such as time series analysis, forecasting, simulation, optimization under constraints, network and flow models, stochastic modeling.
- Ability to formulate ambiguous market questions into testable hypotheses and practical research outputs.
Market / Domain Knowledge:
- Experience in, or strong interest in learning about, physical commodity markets with emphasis on energy markets.
- Familiarity with inventory and storage economics, freight markets, transport constraints, pipeline, terminal, warehouse, vessel, rail and truck logistics, regional dislocations and infrastructure bottlenecks, physical optionality embedded in commodity systems.
- Exposure to oil, gas, power, refined products, metals, or agricultural commodities is a plus.
Preferred Experience:
- Prior experience in front-office quantitative, trading, or investment-oriented roles.
- Experience building models used directly in risk platforms, trade evaluation, or idea generation.
- Familiarity with SQL/NoSQL databases, distributed data workflows, or DAG-based systems.
- Knowledge of machine learning techniques where relevant to forecasting or classification.
Personal Attributes:
- Strong commercial instincts and interest in applying quantitative research to investment decisions.
- Ability to work independently and as part of a team.
- Intellectually curious, highly analytical, and motivated by complex market problems.
- Comfortable working directly with investors and operating in a fast-paced front-office environment.
Quant Researcher, Commodities in City of Westminster employer: Balyasny Asset Management LP
Contact Detail:
Balyasny Asset Management LP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher, Commodities in City of Westminster
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to commodities and quantitative research. Building relationships can lead to insider info on job openings and even referrals.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your C++ and Python skills. Bring examples of your work or projects that highlight your analytical prowess and how you've tackled complex market problems.
✨Ask Insightful Questions
During interviews, ask questions that show your understanding of the commodities market and your interest in their specific challenges. This not only demonstrates your knowledge but also your enthusiasm for the role and the company.
✨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 often prioritise candidates who engage with our platform and community.
We think you need these skills to ace Quant Researcher, Commodities in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong C++ and Python skills in your application. We want to see how you've used these languages to build analytical libraries or models, so don’t hold back on the details!
Quantitative Experience Matters: Since we’re looking for someone with at least 5 years of experience, be sure to showcase your background in quantitative research or commodities. Share specific examples of how you’ve tackled complex market problems.
Connect the Dots: When discussing your experience, try to connect it to the physical commodity markets, especially energy. If you have insights into logistics or market dislocations, let us know how that shapes your approach to research.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Balyasny Asset Management LP
✨Know Your Quant Skills
Brush up on your quantitative skills, especially in probability, statistics, and linear algebra. Be ready to discuss how you've applied these concepts in real-world scenarios, particularly in commodities or trading environments.
✨Showcase Your Technical Proficiency
Make sure you can demonstrate your C++ and Python skills. Prepare examples of high-performance analytical libraries or models you've built, and be ready to explain your thought process behind them.
✨Understand the Market Landscape
Familiarise yourself with physical commodity markets, especially energy markets. Be prepared to discuss current trends, challenges, and how your research can provide actionable insights for portfolio managers and traders.
✨Prepare for Hypothetical Scenarios
Expect to tackle ambiguous market questions during the interview. Practice formulating these into testable hypotheses and think about how you would approach research outputs that could influence investment decisions.