Quant jobs / Old Mission

Quantitative Researcher

A research role in Old Mission's New York office, working with traders and research infrastructure on equity alpha. It also covers pricing models and risk, with some team-leading expected.

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.

Analyse large datasets to develop and deploy alpha signals
Contribute to portfolio construction
Develop pricing models
Assess risk and review strategy performance
Guide other researchers on projects

What they ask for

Required

Advanced statistical techniques
Equity forecasting models deployed to production
3+ years of equity trading experience
One of C++, Python, R, Matlab, Ruby or Java
Experience leading researchers
Communication

Education: Advanced degree in computer science, engineering, maths, statistics or physics
Experience: 3+ years of equity trading experience and a record of deploying models to production
Languages and tools: C++
Python
R
Matlab
Ruby
Java
Markets: equities

How to prepare

Build and validate an equity return forecasting model with walk-forward testing
Study how models are put into production: monitoring, drift and rollbacks
Review advanced statistics: regularisation, shrinkage and multiple testing
Learn portfolio construction with costs and risk constraints

What to study

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

Open the roadmap

Apply

Read the full posting on Old Mission’s site before applying: requirements, location and pay can change after we check them.

View the posting on Old Mission’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Old Mission and doesn’t handle applications.