Point72

Point72

Posted via Greenhouse

Quantitative Finance Researcher

Posted Sep 3, 2026

Role at a glance

Salary
Not Disclosed
Location
Taiwan
Work arrangement
On-site
Employment
Full-time
Experience
Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.
Education
M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.

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Role Summary

AI-generated

The Quantitative Researcher independently conducts quantitative financial research focused on statistical and predictive models. The role covers the research process from methodology selection and data analysis through testing and performance monitoring.

What You'll Do

  • Conduct quantitative financial research focused on statistical and predictive models.
  • Manage the research process, including methodology selection, data collection and analysis, testing, prototyping, backtesting, and...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Preferred

  • Desirable candidates have an M.S., Ph.D., or are Ph.D. candidates in finance, computer science, mathematics, physics, or another...
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics-driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented, with a passion for spotting trends in data.
  • Willingness to take ownership of work, both independently and within a small team.
  • Ability to work under pressure.

Original job description

Content provided by the employer

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Desirable Candidates

  • M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • Programming in any of the following: C++, C#, Java, or Python.
  • Strong analytical and quantitative skills.
  • Keen interest in quantitative research and metrics driven decision making.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Detail-oriented.
  • Passion for spotting trends in data.
  • Willingness to take ownership of his/her work, working both independently and within a small team.
  • Ability to work under pressure.

Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

Point72

About the company

Point72

Large Enterprise

Point72 is a global asset management firm that invests across various asset classes, primarily focusing on equity and credit markets. Founded by Steven A. Cohen in 2014, the firm leverages advanced data analytics and extensive research to drive investment decisions and deliver superior returns for its clients. With a commitment to collaboration, innovation, and professional development, Point72 cultivates a dynamic work environment where talented individuals can thrive in the fast-paced financial landscape. The company fosters a culture of integrity and accountability, aiming to contribute positively to the communities it serves.