Quantitative Researcher

PRIMROSE CAPITAL MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Primrose Capital Management seeks a highly skilled quantitative researcher to advance our inhouse research platform and develop new alpha ideas. You will drive data-driven insights, backtest trading strategies, and design AI-enabled workflows to accelerate discovery.

The role emphasizes rigorous statistics, multi-step AI toolchains, and proficiency in Python/SQL with optional Java experience. International crypto market experience is valued.

Qualifications

• PhD or MPhil in Physics, CS, Mathematics, Statistics, or Engineering.
• Proficiency in Python and SQL; Java is a plus.
• Solid foundation in statistics, probability, and quantitative modeling.
• Strong problem-solving and optimization skills.
• Experience with AI tools and multi-step AI workflows for research.

Responsibilities

• Enhance inhouse quantitative research platform with new features.
• Generate alpha ideas and test quantitative hypotheses.
• Build automated research workflows using AI agents for data analysis, backtesting, and experiments.

Skills

Python

SQL

Java

Quant modeling

Statistics

Backtesting

AI tools

AI agents

Trading ideas

Education

PhD or MPhil

Tools

Java

AI tools

Job description

Primrose Capital Management is a global quantitative digital assets fund manager revolutionizing how digital capital is managed. Backed by decades of experience at renowned quantitative hedge funds and as pioneers in digital asset derivatives, we leverage cutting-edge technology and data-driven insights to deliver sustainable value to our clients.

In Primrose, everyone is encouraged to challenge the boundaries of conventional thinking. Our goal is to hire the best and brightest individuals who think creatively and embody a commitment to continuous improvement. If that is you, then come along and shape the future of the digital assets space with us!

Responsibilities

• Work on the inhouse quantitative research platform and enhance existing and build new features
• Continuously generate new data ideas, alpha ideas, and quantitative research hypotheses
• Build and improve automated research workflows using AI agents to accelerate data analysis, signal discovery, backtesting, and experimentation

Requirements

• MPhil or PhD in Physics, Computer Science, Mathematics, Statistics, Engineering
• Proficient in Python and SQL, Java is a plus.
• Strong foundation in statistics, probability, and quantitative modeling
• Strong problem-solving skills, especially in optimization problems
• Proficient in using AI tools and AI agents to improve research and development efficiency
• Strong understanding of agentic design patterns and the ability to design multi-step, tool-using AI workflows for quantitative research
• Strong research mindset with solid understanding of backtesting, validation, and overfitting
• Experience in quantitative trading, crypto markets, or financial markets is a strong plus
• Ability to independently develop research ideas and translate them into actionable trading strategies