Quantitative Trader Equities, Strategy Monetization
Employment Info
JOB DETAILS
Requirements
- Degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, or similar)
- 3+ years of experience in quantitative trading or monetization research, preferably in equities
- Strong experience with back testing frameworks, large datasets, and systematic performance evaluation
- Deep understanding of market microstructure, transaction costs, and scalability constraints
- Strong programming skills (Python/C++ strongly preferred); ability to write clean, research-grade code
- Rigorous, detail-oriented mindset with strong statistical intuition
Responsibilities
- Research and evaluate new trading signals and strategy ideas with a focus on monetization potential
- Design and run large-scale back tests to assess PnL, risk, capacity, and robustness
- Analyse transaction costs, market impact, and execution assumptions within back testing frameworks
- Optimize portfolio construction, capital allocation, and risk controls across strategies
- Work with engineers to improve back testing infrastructure, data quality, and research tooling
- Partner with live traders to ensure research assumptions align with real-world execution behaviour
- Drive strategies from research validation through production readiness
Desired Qualifications
- Experience at leading systematic or proprietary trading firms is a strong plus
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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