Equities Quant Trader: Monetization & Strategy Validation

Risk Hub; Hong Kong; On-site; HKD 990,000 - 1,429,000; Full time

Job summary

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

Qualifications

• Degree in a quantitative field (Mathematics, Physics, CS, Engineering, Economics, or similar).
• 3+ years of experience in quantitative trading or monetization research, preferably in equities.
• Strong programming skills (Python/C++ strongly preferred); ability to write clean, research-grade code.

Responsibilities

• Research and evaluate new trading signals and strategy ideas with monetization potential.
• Design and run large-scale back tests to assess PnL, risk, capacity, and robustness.
• Analyze 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.
• Drive strategies from research validation through production readiness.

Skills

Quantitative trading

Backtesting

Python

C++

Data analysis

Statistical modeling

Education

Quantitative degree

Tools

Python

C++

Backtesting frameworks

Job description

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