Cubist Quantitative Researcher
At a glance
Mid-level Data Science role at Point72. Hong Kong · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Search global equity markets for alpha using statistical methods on technical or alternative data
- Test hypotheses, shape features and backtest ideas to strengthen potential alpha
- Improve research workflows for alpha generation, portfolio construction, backtesting and monetization
- Keep live portfolio trading processes working and improve them in production
What you bring
- A bachelor’s degree or higher in mathematics, statistics, computer science or another quantitative field
- At least two years of quantitative research experience
- Strong quantitative reasoning, a grounding in statistics, linear algebra or machine learning, and Python proficiency
Who this fits
This role suits a quantitative researcher who can work independently and collaborate with a team. Experience in medium-frequency equity research is a plus.
From 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
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 Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.