Quantitative Researcher

PRIMROSE CAPITAL MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 140,000 - 180,000; Full time

Job summary

Primrose Capital Management Pte. Ltd. is a global quantitative digital assets fund manager. We develop data-driven strategies and AI-powered research workflows to advance digital asset trading and risk management.

Join a team of experts in physics, math and computer science to push the boundaries of quantitative research in crypto markets with state-of-the-art tooling and a data-driven culture.

Qualifications

• PhD/MPhil in a quantitative field is preferred.
• Strong foundation in statistics, probability and modeling.
• Experience with quantitative research and backtesting is desirable.

Responsibilities

• Work on the inhouse quantitative research platform and add new features.
• Generate data ideas, alpha ideas and research hypotheses.
• Build and improve automated research workflows using AI agents for data analysis and backtesting.

Skills

Python

SQL

Java

Statistics

Optimization

Data analysis

AI workflows

Education

MPhil/PhD in Physics/CS/Math/Statistics/Engineering

Tools

AI tools

AI agents

Backtesting 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