Quantitative Researcher — AI‑Driven Crypto Alpha (Flexible)

QCP Capital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Primrose Capital Management is a global quantitative digital assets fund manager revolutionizing how digital capital is managed. We leverage cutting-edge technology and data-driven insights to deliver sustainable value to our clients.

We offer a collaborative environment where researchers shape the future of digital assets. You will work on inhouse platforms, generate alpha ideas, and design AI-driven workflows for efficient data analysis and backtesting.

Qualifications

• 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.
• Experience in quantitative trading, crypto markets, or financial markets is a plus.

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.
• Independently develop research ideas and translate them into actionable trading strategies.
• Design multi-step, tool-using AI workflows for quantitative research.

Skills

Python

SQL

Statistics

Quantitative modeling

Problem solving

Education

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

Tools

AI tools/AI agents

Job description

Primrose Capital Management is a global quantitative digital assets fund manager revolutionizing how digital capital is managed. We leverage cutting-edge technology and data-driven insights to deliver sustainable value to our clients.

We offer a collaborative environment where researchers shape the future of digital assets. You will work on inhouse platforms, generate alpha ideas, and design AI-driven workflows for efficient data analysis and backtesting.