# Cubist Quantitative Researcher at Point72

> Hong Kong · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Apoint72%3A7666631002 (read 2026-11-07).

## Facts (observed)

- Company: [Point72](https://alderhq.app/companies/point72)
- Location text: Hong Kong; Hong Kong
- Where it can be done from (inferred): Hong Kong (evidence: "Location: Hong Kong; Hong Kong")
- Posted: 2024-11-04 (732 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://boards.greenhouse.io/point72/jobs/7666631002?gh_jid=7666631002
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 11, median offered wage $300k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### 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

The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance.

### RESPONSIBILITIES

- Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas.
- Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization.
- Maintaining and improving portfolio trading in production environments.
### REQUIREMENTS

- Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline.
- 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus.
- Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning.
- Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas.
- Ability to work both independently and collaboratively within a team.
- Commitment to the highest ethical standards.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apoint72%3A7666631002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.