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- Tasks: Model financial mathematics and enhance trading performance in a dynamic environment.
- Company: Rapidly growing commodities trading firm with a hands-on approach.
- Benefits: Competitive salary, flexible hours, and opportunities for mentorship.
- Other info: Ideal for those who thrive under pressure and enjoy solving complex problems.
- Why this job: Join a team where your analytical skills make a real impact on trading success.
- Qualifications: Experience in quantitative disciplines and strong skills in Excel and Python.
The predicted salary is between 60000 - 80000 £ per year.
We are currently recruiting for a successful, rapidly growing commodities trading firm looking for a hands-on Quantitative Risk Analyst / Modeler to help scale, inform, protect and enhance our trading performance, and provide some team cover in trade execution and risk management. This role is ideal for someone who enjoys the challenge of modelling the financial mathematics and applying these models to real life scenarios.
We need someone who must have the following:
- A genuine love of the craft — you get real satisfaction from solving hard problems well, from a model that survives contact with a volatile market to teaching a junior colleague something that clicks to translating complex financial model into an actionable insight. You are motivated by the work itself, not the next rung on a ladder.
- Experience in a quantitative discipline (mathematics, physics, financial engineering, computer science or similar).
- Strong quantitative foundation: statistics, probability, time-series analysis, and the practical judgement to know which tool fits which problem (and when a simple model beats a clever one).
- Exceptional Excel skills, including advanced data manipulation, modelling, and building tools that traders actually want to use; building transparent, reliable and decision-useful models and reporting tools.
- Excellent Python skills (ideally within Excel) — comfortable writing clean, testable, production-quality code; fluent with pandas, NumPy, and the typical scientific Python stack.
- Flexible approach to working hours to respond to evolving needs of markets and Trading team requirements.
- Calm and composed under pressure, comfortable in chaos, with strong ethical standards and sound judgement when the stakes are high.
- Strong logical reasoning: methodical, pattern-recognising, able to hold conflicting views in parallel and reason your way to the best answer.
- Excellent written and verbal communication skills — able to explain a complex model to a trader in 30 seconds and to a junior analyst in 30 minutes, with the appropriate depth for each.
Ideally will be a bonus if you have the following:
- Direct experience with commodities or futures markets.
- Experience of using Bloomberg and other market data sources to enrich risk models/analytics.
- Experience with SQL and modern data tooling.
- Experience building or contributing to production risk or trading systems alongside Engineering teams.
- Experience mentoring, coaching or line-managing junior analysts.
Unfortunately, we are unable to offer visa sponsorship for this role.
Quantitative Risk Analyst employer: Dartmouth Partners
Contact Detail:
Dartmouth Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading space on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, Excel, and any relevant modelling techniques. Practice explaining complex concepts simply—this is key!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Risk Analyst
Some tips for your application 🫡
Show Your Passion: Let us see your genuine love for quantitative analysis! Share examples of how you've tackled tough problems and the satisfaction you get from solving them. We want to know what drives you in this field.
Highlight Relevant Skills: Make sure to showcase your strong quantitative foundation and exceptional Excel and Python skills. We’re looking for someone who can build reliable models, so give us the details on your experience with data manipulation and coding!
Communicate Clearly: Your written communication skills are key! Practice explaining complex concepts in simple terms. We need to know you can break down a model for a trader in a flash or dive deeper for a junior analyst when needed.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Dartmouth Partners
✨Know Your Models Inside Out
Make sure you can explain your quantitative models clearly and concisely. Be prepared to discuss how you've applied these models in real-life scenarios, especially in volatile markets. This shows not only your technical skills but also your ability to translate complex concepts into actionable insights.
✨Excel and Python Proficiency
Brush up on your Excel and Python skills before the interview. Be ready to demonstrate your ability to manipulate data and build reliable models. You might even be asked to solve a problem on the spot, so practice writing clean, testable code that traders would find useful.
✨Stay Calm Under Pressure
Given the fast-paced nature of trading, it's crucial to showcase your ability to remain composed in chaotic situations. Prepare examples from your past experiences where you successfully navigated high-pressure scenarios, demonstrating your strong ethical standards and sound judgement.
✨Communicate Effectively
Practice explaining complex financial concepts in simple terms. You should be able to adapt your communication style depending on your audience, whether it’s a trader or a junior analyst. This skill is vital for ensuring that your insights are understood and actionable.