ApplySarthiQuantitative 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.
Quantitative Researcher jobs in the United Kingdom · Quantitative Researcher jobs in London · Machine learning jobs · Python 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.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
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Practise the 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:
A new Cubist portfolio management team specializing in the systematic trading of equities is looking for a Quant Researcher whose core focus will be working on mid-frequency alpha strategies. Joining the team will provide a unique opportunity to be involved with the early stages of a product launch and develop within a growing team.
Responsibilities:
- Perform rigorous and innovative research to discover systematic anomalies in the equities market
- End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
- Identify and evaluate new datasets for stock return prediction
- Maintain and improve portfolio trading in a production environment
- Contribute to the analysis framework for scalable research
Requirements:
- MS or PhD in a quantitative discipline
- 0-2 years of professional work experience
- A background in financial markets is not necessary, but an interest in the field is essential
- Proven expertise in Python and handling large datasets
- Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus
- Highly motivated, curious, and critical thinker
- Collaborative mindset with strong independent research abilities
- Commitment to the highest ethical standards
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Listed on greenhouse · posted 2024-12-02. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.