# Cubist Quantitative Researcher at Point72

Cubist Quantitative Researcher at Point72 in Hong Kong. Posted November 4, 2024.

- Company: Point72
- Location: Hong Kong
- Experience: 2+ years
- Posted: 2024-11-04
- Apply: https://boards.greenhouse.io/point72/jobs/7666631002?gh_jid=7666631002
- Source: https://jobmagic.ai/jobs/cubist-quantitative-researcher-point72-tj90zq

## 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.

## Description

**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.