Are you passionate about quantitative research and data-driven trading? Join our APAC Central Risk Book team and help transform trading processes through advanced analytics and automation. This is an exciting opportunity to collaborate with traders, design next-generation strategies, and make a real impact in the cash business unit.

As a Systematic Quantitative Researcher in the APAC Central Risk Book team, you will partner with traders to develop and implement advanced analytics, algorithmic strategies, and risk models. You will play a key role in automating trading workflows and driving business transformation through data-driven solutions. Your expertise will help shape the future of systematic trading and support the team’s growth and innovation.

Job Responsibilities:

• Partner with the Central Risk Book desk to develop analytics and automated processes for all aspects of trading activity

• Design and implement trading strategies, including portfolio optimization, index arbitrage, statistical arbitrage, and market making for equities, futures, and ETFs

• Identify and evaluate new business opportunities, contributing to the full development lifecycle: research, prototyping, implementation, monitoring, and performance analysis

• Support trading operations by analyzing model behavior, conducting scenario and post-trade analyses, and reviewing historical performance

• Develop hedging strategies and build robust execution logic

Required Qualifications, Capabilities, and Skills

• PhD or Master’s degree in a quantitative or computer science field from a leading institution

• Experience in systematic trading, particularly in cash equities or related asset classes

• Excellent written and verbal communication skills, with the ability to clearly explain complex research concepts

• Deep understanding of algorithmic trading, market making, and arbitrage strategies

• Strong expertise in alpha research and statistical modeling

• Advanced programming skills in Python and relevant quantitative libraries (e.g., numpy, pandas), with the ability to analyze large, complex datasets from multiple sources

• Familiarity with KDB/Q is preferred

Preferred Qualifications, Capabilities, and Skills

• Experience in developing and integrating analytics into automated trading workflows

• Ability to work collaboratively with traders and stakeholders to drive adoption of data-driven methodologies

• Proactive approach to identifying and solving business challenges

• Strong problem-solving skills and attention to detail

• Experience with additional programming languages or quantitative tools is a plus