Role at a glance
- Salary
- Not Disclosed
- Location
- Tokyo, Hong Kong Australia
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Prior experience in the financial services industry is not required.
- Education
- B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
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Role Summary
An entry-level quantitative researcher conducts rigorous quantitative research focused on predictive models. The role covers the systematic trading research process, from generating ideas through practical trading considerations.
What You'll Do
- Conduct original quantitative alpha signal research.
- Follow, digest, and analyze the latest academic research.
- Manage research including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy...
- Build analytical tools to supplement the shared research framework.
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View full postingQualifications
B.S., M.S. or PhD in a listed or other quantitative discipline; programming in Python or a comparable language and working knowledge of SQL; strong analytical and quantitative skills; willingness to take ownership; ability to work independently and collaboratively; desire to deliver high-quality results in a timely fashion; detail-oriented; commitment to the highest ethical standards. Prior financial services industry experience is not required.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
RESPONSIBILITIES
- Conduct original quantitative alpha signal research
- Follow, digest and analyze the latest academic research
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
- Build analytical tools to supplement our shared research framework
REQUIRMENTS
- B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- Programming in Python (or comparable language) and working knowledge of SQL
- Strong analytical and quantitative skills.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Detail-oriented.
- Prior experience in the financial services industry is not required.
- A commitment to the highest ethical standards.
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.