Equity Quant Researcher

You will be tasked with developing and testing systematic equity strategies, leveraging vast datasets, and applying advanced statistical and machine learning techniques to uncover trading opportunities.

Key responsibilities

• Research, design, and implement systematic equity trading strategies across global markets.
• Perform rigorous data analysis and statistical modeling on large, high-frequency and fundamental datasets.
• Develop predictive signals and risk models that can be deployed into live trading.
• Collaborate with technologists to implement robust and scalable research pipelines.
• Contribute to the full lifecycle of strategy development—from idea generation and backtesting to live deployment and performance monitoring.

Ideal Candidate Profile

• Advanced degree (PhD or MS) in a quantitative discipline: Mathematics, Statistics, Computer Science, Physics, Financial Engineering, or related field.
• Strong background in probability, statistics, time-series analysis, or econometrics.
• Hands-on experience with Python, C++, R, or MATLAB in a research environment.
• Track record of conducting independent, innovative research and delivering measurable results.
• Intellectual curiosity, problem-solving creativity, and ability to thrive in a fast-paced, collaborative environment.
• Prior experience in systematic equity research is highly valued, but exceptional researchers from academia or other asset classes will also be considered.

What’s on offer

• Opportunity to work with one of the most prestigious hedge funds globally, recognized for its excellence in quantitative research.
• Access to cutting-edge infrastructure, proprietary datasets, and advanced technology platforms.
• Highly competitive compensation, including base salary, performance-based bonus, and long-term incentives.
• A culture that values innovation, intellectual rigor, and impact.