Quantitative Trader – Equities (Strategy Monetization)

4 дн. назад

Hong KongAustraliaWorldwideSenior

back testingdata analysisstrategy evaluationrisk controlsportfolio construction

Quantitative Trader role focused on monetization research, back testing, and developing scalable delta-one equity trading strategies.

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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

IMC is hiring a Quantitative Trader to focus on monetization research and back testing for high- to mid-frequency delta-one equity strategies. This role emphasizes research depth, systematic evaluation, and capital efficiency, partnering closely with quant researchers and engineers to turn signals into scalable, profitable trading strategies.
Based in Sydney, this role is ideal for candidates who excel at research-driven trading problems, large-scale data analysis, and rigorous performance validation. For exceptional candidates from top global trading firms, Hong Kong location may be considered.
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
Experience at leading systematic or proprietary trading firms is a strong plus