Skills this job asks for
StatisticsMachine learningPython
Add your CV (free) to see which of these your CV is missing.
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
-
?
No government sponsor record hereNo government sponsor record covers this employer in this country.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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.
Apply on employer site ↗
Hong Kong