Quant jobs / Acadian Asset Management

ESG Quant Analyst

Combine ESG engagement information with quantitative investment datasets at Acadian. The role develops scalable research tools and shares company insights with portfolio researchers.

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.

Transform engagement information into consistent research data.
Analyse structured and unstructured ESG datasets with Python and AI.
Support portfolio assessments and the development of investment signals.

What they ask for

Required

Python and SQL aptitude
Exploratory data analysis
Large-dataset handling
Generative-AI tools
Clear research communication

Preferred

Sustainable-investing professional study

Education: Bachelor’s degree.
Experience: 1–2 years working for an investment manager or sell-side institution.
Languages and tools: Python
SQL
Markets: equities

How to prepare

Build an auditable ESG dataset from structured and text sources.
Test whether an ESG feature adds value after controlling for factor exposures.
Evaluate an AI extraction workflow against manually checked examples.

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 Acadian Asset Management’s site before applying: requirements, location and pay can change after we check them.

View the posting on Acadian Asset Management’s site ↗

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