Quantitative Trader – Equities (Strategy Monetization)

ittihad medical centre; Hong Kong; On-site; HKD 80,000 - 120,000; Full time

Job summary

ittihad medical centre is seeking a Quantitative Trader to lead monetization research and back testing for equity strategies. The role demands a quantitative background with a focus on research-driven trading and large-scale data analysis.

Ideal candidates will possess at least 3 years in quantitative trading, strong analytical skills, and programming expertise in Python or C++. This position offers a dynamic environment for those looking to make a significant impact.

Qualifications

• 3+ years of experience in quantitative trading or monetization research, preferably in equities.
• Strong understanding of market microstructure and transaction costs.
• Experience at leading systematic or proprietary trading firms is a strong plus.

Responsibilities

• Research and evaluate new trading signals with monetization potential.
• Design and run large-scale back tests for strategies.
• Optimize portfolio construction and risk controls across strategies.

Skills

Quantitative analysis

Back testing frameworks

Data analysis

Programming in Python/C++

Education

Degree in Mathematics, Physics, Computer Science, Engineering, Economics

Job description

Overview

IMC is hiring aQuantitative 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.

Core 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

Skills & Experience

• 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

About Us

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.