Why This Role Stands Out
This hybrid role offers an exciting chance to develop cutting-edge quantitative models at a top global hedge fund, with a highly competitive salary and bonus package. You’ll thrive here if you're a junior C++ developer with a passion for commodities markets and a desire for impactful, greenfield development within a collaborative and entrepreneurial team. Apply now to leverage your skills and accelerate your career in a dynamic environment.
Quick Overview
Salary
£130 - £140/hr
Seniority
Junior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago
C++Python
Job Description
Salary: £130-140k base + £50-70k bonus
Unique opportunity for a junior modern C++ engineer to join one of the world's most prestigious hedge funds in a brand-new role within the centralized Commodities Quant team.
In this critical role, you'll working closely with derivatives quants and data scientists across the business to research and develop commodities quantitative models specific to the risk & portfolio managers' needs. All greenfield work, your focus will be quantitative analysis models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, forward curve and volatility surface construction, handling timeseries data for the construction of price and volatility scenarios, and modeling of Value at Risk (VaR) with both historical and factor-based approaches.
This opportunity provides a collaborative, entrepreneurial and fast-paced environment with excellent opportunities for career growth.
Skills and Experience Required
Desirable
Benefits & Incentives
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
richard.allan@oxfordknight.co.uk
+44 (0) 20 3137 9574
linkedin.com/in/richardallanok/
Unique opportunity for a junior modern C++ engineer to join one of the world's most prestigious hedge funds in a brand-new role within the centralized Commodities Quant team.
In this critical role, you'll working closely with derivatives quants and data scientists across the business to research and develop commodities quantitative models specific to the risk & portfolio managers' needs. All greenfield work, your focus will be quantitative analysis models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, forward curve and volatility surface construction, handling timeseries data for the construction of price and volatility scenarios, and modeling of Value at Risk (VaR) with both historical and factor-based approaches.
This opportunity provides a collaborative, entrepreneurial and fast-paced environment with excellent opportunities for career growth.
Skills and Experience Required
- Experience with and understanding of modern C++ (at least C++17, ideally later)
- Strong programming skills with clean reliable code
- Keen interest in commodities markets
- Realistically around 1-3 years of commercial experience post-graduation
Desirable
- Familiarity with at least one commodities asset class, e.g. energy, ags and softs, or base metals
- Previous experience researching and building risk models for commodities markets
- Hands-on experience with Python for prototyping and analysis
Benefits & Incentives
- Significant salary + a bonus tied to profits / trading strategy success
- Greenfield work / big impact
- Very collaborative culture, ideas are implemented
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
richard.allan@oxfordknight.co.uk
+44 (0) 20 3137 9574
linkedin.com/in/richardallanok/
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