We're working with a highly prestigious global hedge fund renowned for its innovative financial strategies and significant market impact. This firm offers a dynamic, entrepreneurial environment where cutting-edge technology meets sophisticated financial modeling to drive success.
The Role
- Develop and implement commodities quantitative models for risk and portfolio managers.
- Focus on greenfield projects, including calculation of risk metrics (Greeks), risk projections, and volatility surface construction.
- Handle timeseries data for price and volatility scenarios.
- Model Value at Risk (VaR) using historical and factor-based approaches.
- Collaborate closely with derivatives quants and data scientists.
- Contribute to a collaborative, entrepreneurial, and fast-paced environment with significant career growth opportunities.
What You'll Need
- Experience with modern C++ (C++17 or later).
- Strong programming skills, producing clean and reliable code.
- Keen interest in commodities markets.
- Approximately 1-3 years of commercial experience post-graduation.
- Familiarity with at least one commodities asset class (e.g., energy, ags and softs, or base metals) is a plus.
- Previous experience researching and building risk models for commodities markets is a plus.
- Hands-on experience with Python for prototyping and analysis is a plus.
What's On Offer
- Significant salary with bonus tied to profits/trading strategy success.
- Opportunity for greenfield work and significant impact.
- Highly collaborative culture where ideas are implemented rapidly.
Apply via Haystack today!
UK
