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- Tasks: Develop and enhance risk models in Python while collaborating with traders and risk managers.
- Company: Join a leading energy trading firm known for its success and innovation.
- Benefits: Gain autonomy, access to senior stakeholders, and hands-on experience in a dynamic environment.
- Why this job: Make a real impact on how the firm measures and manages risk in commodities.
- Qualifications: Background in commodities with strong modelling skills and Python expertise.
The predicted salary is between 13 - 16 £ per hour.
Want to work at one of the most successful energy trading firms? Here you’ll take on a broad mix of quantitative risk and analytics work across a wide range of commodities products. If you enjoy variety and real impact, this is the kind of role that offers both.
You’ll stay hands-on - building and enhancing risk models in Python, working closely with traders, risk managers and the wider analytics teams, and shaping how the firm measures and manages risk. Reporting directly to the Lead Quant Risk, you’ll have genuine autonomy and access to senior stakeholders who value strong technical judgement.
Day to day, you’ll be improving and developing the firm’s core risk metrics, ensuring they’re accurate, scalable and aligned with how the business trades. It’s a role where your technical depth and market understanding will genuinely influence decision-making.
You’ll need a background in commodities, alongside strong modelling and risk metrics (VAR, CAR, PFE, Liquidity at Risk) and Python skills.
If you want to join a firm pushing the future of commodities, apply or get in touch directly at megan@saragossa.io. No up-to-date CV required.
Responsibilities:- Hands-on development and enhancement of risk models in Python
- Collaborating with traders, risk managers and the wider analytics teams
- Shaping how the firm measures and manages risk
- Improve and develop the firm’s core risk metrics, ensuring they’re accurate, scalable and aligned with how the business trades
- Reporting to the Lead Quant Risk with autonomy and access to senior stakeholders
- Background in commodities
- Strong modelling and risk metrics experience (VAR, CAR, PFE, Liquidity at Risk)
- Python skills
Quant Risk Analyst - Commodities - Studentjob.co.uk in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Risk Analyst - Commodities - Studentjob.co.uk in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities and risk analysis space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with risk metrics like VAR and CAR. We want you to showcase your technical depth and market understanding.
✨Tip Number 3
Don’t just apply anywhere; focus on firms that excite you! Use our website to find roles that match your passion for commodities and risk analysis. Tailor your approach to each company’s culture and values.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight why you’re the perfect fit.
We think you need these skills to ace Quant Risk Analyst - Commodities - Studentjob.co.uk in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and experience with risk metrics like VAR and CAR. We want to see how your background in commodities can bring value to our team!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Quant Risk Analyst role. We love seeing candidates who take this extra step.
Be Authentic: Let your personality shine through in your application. We’re looking for someone who’s not only technically skilled but also a good fit for our team culture. Be yourself!
Apply Through Our Website: For the best chance of success, make sure you apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Jobster
✨Know Your Commodities
Make sure you brush up on your knowledge of commodities and the specific products the firm deals with. Understanding market trends and how they impact risk will show that you're genuinely interested in the role and can contribute to discussions.
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in relation to building and enhancing risk models. You might even be asked to solve a coding problem on the spot, so practice common algorithms and data structures relevant to risk modelling.
✨Understand Risk Metrics
Familiarise yourself with key risk metrics like VAR, CAR, PFE, and Liquidity at Risk. Be ready to explain how these metrics are calculated and their significance in trading decisions. This will demonstrate your technical depth and understanding of risk management.
✨Engage with Stakeholders
Since you'll be working closely with traders and risk managers, think about how you can effectively communicate complex ideas to non-technical stakeholders. Prepare examples of how you've done this in the past, as it shows your ability to collaborate and influence decision-making.
