Microstructure Quantitative Researcher
Point72
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This role on the market
9 open microstructure roles across 4 companies are on ApplySarthi right now.
- MAÎTRE DE CONFÉRENCES dans le domaine du Génie Civil et de la microstructure des matériaux de construction H/F - CDI - IMT Mines AlèsInstitut Mines-Télécom
- Quantitative Trading & Research - Market Microstructure & High-Frequency Quantitative Researcher - Associate or Vice PresidentJPMorgan
- Python Engineer – Market Microstructure ToolingQube Research & Technologies
What microstructure roles keep asking for: Python (89%), C++ (67%), Machine learning (56%), Deep learning (44%), Linux (33%), R (22%), pandas (22%) — counted across their open postings here.
C++ jobs · Machine learning jobs · Python jobs · R jobs
Point72 has 200 open roles listed here.
- 2026 Boston Career Forum - 2029 Graduate Opportunities
- Post-Training Research Scientist - Forecasting and Reasoning
- Administrative Assistant
- Analyst, People Operations(Workday HCM)bengaluru
- Compliance Tech Leadbengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for microstructure roles keep coming back to Python, C++, Machine learning, Deep learning. 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 C++? 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 Microstructure Quantitative Researcher at Point72 interview free →About the Team:
A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business.
Role/Responsibilities:
- Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals
- Perform feature engineering with order book tick data at intraday to daily horizons
- Perform feature combination using various modeling techniques ranging from linear to machine learning models
- Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Help drive the growth of the investment process and research capabilities of the team
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
- Assist in building, maintenance, and continual improvement of production and trading environments
Requirements:
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record
- Knowledge of market microstructure for futures and/or FX
- Prior experience with tick data based feature generation, modelling, and monetization
- Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
- Collaborative mindset with strong independent research abilities
- Commitment to the highest ethical standards
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Listed on greenhouse · posted 2026-01-21. ApplySarthi collects openings and links to application pages; the role is advertised by Point72 , not by us.