Quantitative Trader (Systematic)

Principle Partners Pte Ltd; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Principle Partners Pte Ltd is seeking a quantitative trader to join its APAC Central trading team. You will work with traders and technologists to manage live risk, refine execution, and contribute to the firm's systematic trading platform.

The role requires hands-on coding in Python and/or C++, a strong mathematical background, and experience in equity/futures/options markets. You will analyze trades, optimize strategies, and collaborate across research and tech teams.

Qualifications

• Degree in a quantitative discipline from a top institution.
• At least 3+ years trading experience in Equity/Futures/Options, preferably systematic.
• Strong coding ability in Python, C++, or similar.
• Familiarity with automated trading platforms and electronic markets.
• Excellent problem solving and decision making under pressure.

Responsibilities

• Manage daily operation of systematic trading platform with researchers and tech teams.
• Monitor risk across multi-instrument books with trading authority.
• Contribute to design and refinement of automated execution to reduce costs and slippage.
• Analyze trade outcomes, including P&L attribution and execution quality.
• Track strategy performance and market microstructure to inform parameter adjustments.
• Collaborate with research and technology teams on new trading opportunities.

Skills

Python

C++

Risk management

Equity trading

Education

Quantitative discipline degree

Tools

Trading platform API

Job description

We are working with a top-tier HFT / market-making firm looking for a Quantitative Trader to join their APAC Central trading team. You will work closely with experienced traders and technologists to manage live risk, refine execution, and contribute to the ongoing development of our systematic trading platform.

Key Responsibilities

• Manage the daily operation of our systematic trading platform, partnering with developers, researchers, and technology teams
• Monitor and manage risk across multi-instrument trading books, with authority over trading activities
• Support the design and refinement of automated execution logic to reduce trading costs and slippage
• Analyze trade outcomes, including P&L attribution and execution quality, and feed findings back into the process
• Track strategy performance and market microstructure, identifying trends that inform actions and parameter adjustments
• Collaborate with research and technology teams on new trading opportunities, platform improvements, and strategy deployment

Requirements

• Degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Physics, Finance, or related STEM field) from a top institution
• 3+ years of experience in Equity/Futures/Options trading, preferably in a systematic or semi-systematic environment
• Hands-on coding ability in Python, C++, or another relevant language
• Familiarity with automated or algorithmic trading platforms and electronic trading
• Excellent problem-solving and strategic decision-making ability; able to keep the big picture in mind while making informed decisions in a fast-paced environment
• Strong analytical mindset with the ability to stay composed under pressure