Data Scientist, Proprietary Research
A data scientist role on Point72's Market Intelligence team, using machine learning and statistics on big unstructured datasets to produce insights for investment professionals. The scientist owns the work from method choice through to monitoring.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Engineer features from large unstructured alternative datasets
- Select methods, check data quality and build and validate models
- Deliver findings to portfolio managers and analysts
- Monitor model performance after delivery
- Take part in team research and development of new techniques
What they ask for
Required
- Master's or PhD in a quantitative subject with 1+ year of professional experience
- Interest in machine learning and data mining
- Python (preferred), R, Spark or SQL
- Strong statistics and modelling
- Clear explanation of complex analyses
- Education
- Master's or PhD in a quantitative discipline
- Experience
- 1+ year of professional experience
- Languages and tools
How to prepare
- Complete a project that turns unstructured data, such as text or web data, into model features
- Revise regularisation, cross-validation and how to avoid leakage
- Practise explaining model results to non-specialists
- Get comfortable with Spark or SQL for large data
What to study
- Financial Machine Learning
- Text as Data and NLP for Finance
- Probability, Statistics and Financial Data
- Python and Data Primer
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.
View the posting on Point72’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.