At a Glance
- Tasks: Build and enhance risk models in Python for commodities trading.
- Company: Leading energy trading firm in the UK with a focus on innovation.
- Benefits: Full-time role with autonomy, competitive salary, and access to senior stakeholders.
- Other info: Engage in work that shapes the future of commodities trading.
- Why this job: Make a real impact on decision-making in the dynamic world of commodities.
- Qualifications: Strong understanding of commodities and hands-on experience in risk measurement.
The predicted salary is between 59400 - 72600 £ per year.
A leading energy trading firm in the UK seeks a Principal Consultant to work on quantitative risk and analytics in commodities. You will build and enhance risk models in Python, directly impacting decision-making through accurate metrics. Ideal candidates have a strong understanding of commodities and risk measurements, with hands-on experience in related fields. This full-time role offers genuine autonomy and access to senior stakeholders, engaging in work that pushes the future of commodities. #J-18808-Ljbffr
Quant Risk Analyst, Commodities — Build Risk Models in Python employer: Saragossa
Saragossa is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. As a member of our team, you'll enjoy meaningful growth opportunities while working on cutting-edge ML-driven projects that directly impact our research platform. With a focus on real ownership and a clean-slate environment, we empower our employees to turn ideas into actionable strategies, making your contributions truly valuable.
