Quantitative Researcher

QCP Capital

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago
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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. 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

  • 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


The Environment We Offer

As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management. Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term. We also provide flexible working arrangement as required and a casual and fun environment to boot!

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