Quantitative Risk Analyst
Selby Jennings is partnered with a leading global commodity trading firm that is looking to bring a Quantitative Risk Analyst onto their front office team. In this high-impact role, you'll design and implement cutting-edge risk models that help the team stay ahead of market shifts.
Responsibilities:
- Design and implement quantitative models to assess and manage risk across trading activities.
- Take full ownership of model performance, ensuring accurate position tracking with a strong grasp of contract timing and seasonal market behavior.
- Enhance operational efficiency by automating workflows and improving data validation processes.
- Support bespoke and structured deals with tailored risk assessments and modeling.
- Monitor and report on risk concentrations and policy breaches to senior leadership.
- Consolidate and analyze data from multiple systems, applying rigorous data science standards.
Requirements:
- 2+ years of experience in a quantitative or analytical role within commodity trading.
- Degree in a quantitative field (e.g., mathematics, engineering, physics, computer science); advanced degrees are a plus.
- Proficient in at least one programming language-Python is ideal, but others like R, C++, or VBA are also valuable.
- Strong communication skills and a collaborative mindset; able to explain technical work clearly to non-technical stakeholders.
- Strong understanding of options, derivatives, etc.
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