Quant jobs / Point72

Senior Data Scientist – Cubist Data Services

A senior data role in Cubist's Data Services group, responsible for delivering clean, dependable data to systematic portfolio managers. The post covers sourcing, tooling and derived data products.

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.

Onboard new datasets and build the tools to ingest, clean and deliver them
Test datasets for cleanliness, usability and feature potential
Build derived, value-added data products for investment teams
Work with vendors and portfolio managers on data needs
Investigate new technology, including AI tools, that improves data management

What they ask for

Required

PhD or master's in financial engineering, statistics, computer science or similar
Strong Python
Strong SQL
5+ years as a data scientist or similar
Large datasets and predictive modelling
Organisation and attention to detail

Preferred

AWS
Linux
Airflow
Finance experience

Education: PhD or master's in financial engineering, statistics, computer science or another rigorous quantitative field
Experience: 5+ years as a data scientist or similar role
Languages and tools: Python
SQL
Markets: equities, futures, options

How to prepare

Build a reusable ingestion and validation framework for a messy public dataset
Practise feature extraction and predictive modelling on large tabular data
Learn how data vendors deliver data and how to evaluate dataset quality
Understand the full lifecycle from raw vendor feed to research-ready table

What to study

Apply

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.