Quant jobs / Point72

Quantitative Developer, Risk Technology

A developer role in Point72's technology team, working with risk quants on equity factor models and risk analytics. You would build the large-scale reporting that portfolio risk depends on.

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.

Help risk quants build and refine equity risk factor models
Write risk and performance analytics for stakeholders
Build a reporting framework that handles terabytes of data
Design layered data pipelines for risk calculations
Turn vague requests from risk and research teams into technical specs

What they ask for

Required

Equity factor models (e.g. Barra-style)
Financial instrument modelling in equities
Python or similar quantitative language
Advanced SQL and query optimisation
Data structures and algorithms
Layered (bronze/silver/gold) data architecture

Education: Training in computer science, maths, physics or a related technical field.
Experience: 5+ years of programming in a quantitative or research setting.
Languages and tools: Python
R
Julia
MATLAB
SQL
Markets: equities

How to prepare

Build a simple multi-factor equity risk model and decompose portfolio risk
Study how commercial risk models like Barra are constructed
Practise SQL on large tables, including partitioning and query plans
Learn medallion-style data pipeline design

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

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.