Quantitative Researcher

About Primrose Capital Management

Primrose Capital Management is a global quantitative fund manager focusing on digital assets. Leveraging decades of experience gained from leading quantitative hedge funds and pioneering digital asset derivatives, the firm utilizes advanced technology and data-centric insights to create lasting value for clients. The organization fosters a culture that challenges traditional thinking and prioritizes creative problem solving along with a dedication to continual progress.

Key Responsibilities

• Enhance and develop new capabilities on the proprietary quantitative research platform.
• Continuously propose innovative data concepts, alpha generation ideas, and hypotheses for quantitative investigation.
• Utilize AI agents to build and refine automated workflows, accelerating data analysis, signal identification, backtesting, and experimental processes.

Candidate Requirements

• Possess an MPhil or PhD in Physics, Computer Science, Mathematics, Statistics, or Engineering.
• Proficient in Python and SQL; Java programming skills are an added advantage.
• Have a solid grounding in statistics, probability theory, and quantitative modeling techniques.
• Demonstrate strong problem-solving abilities, particularly in solving optimization challenges.
• Experience with AI tools and the use of AI agents to enhance research and development productivity.
• Deep knowledge of agentic design patterns and capability to architect multi-stage AI workflows for quantitative research applications.
• Exhibit a rigorous research mindset with sound knowledge of backtesting methods, validation procedures, and risks of overfitting.
• Experience related to quantitative trading, cryptocurrency markets, or financial market analysis is highly desirable.
• Ability to independently generate research initiatives and convert these into executable trading strategies.

Work Environment and Benefits

The company is a growing, close-knit team that values and respects input from all employees including management. Staff enjoy significant autonomy with an emphasis on results rather than procedures. Flexible working arrangements are supported, enabling a casual and engaging workplace culture. The company is committed to supporting holistic employee development to nurture long-term potential.