Cubist Quantitative Researcher
Point72
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This role on the market
292 open quantitative roles across 49 companies are on ApplySarthi right now, most of them in Mumbai (8), Delhi NCR (4), Hyderabad (2).
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What quantitative roles keep asking for: Python (80%), Machine learning (46%), C++ (33%), SQL (27%), R (18%) — counted across their open postings here.
Machine learning jobs · NumPy jobs · Python jobs · pandas jobs
Point72 has 200 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for quantitative roles keep coming back to Python, Machine learning, C++, SQL. Practise those questions before you sit with Point72 .
Questions you are likely to be asked
- Why do you want to join Point72?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Cubist Quantitative Researcher at Point72 interview free →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.
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Listed on greenhouse · posted 2024-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.