Quant jobs / Acadian Asset Management

VP, Principal Quant Engineer

A senior engineering role at Acadian building the platforms that quant researchers use to develop, evaluate and deploy models. It spans alpha, risk, transaction costs and attribution.

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.

Design tooling for signal construction and evaluation
Develop platform features for data access, workflow orchestration and distributed execution
Add ML and AI techniques such as hyperparameter tuning into research workflows
Set architecture for robust, scalable research and production systems

What they ask for

Required

Bachelor's or higher in CS, engineering, applied maths or similar
7+ years of software engineering with quant research support
Experience running quantitative platforms at scale
Strong Python and modern data tools
System design
Familiarity with ML and AI coding tools

Education: Bachelor's degree or higher in computer science, engineering, applied maths or a related field
Experience: 7+ years in software engineering supporting quantitative research in production
Languages and tools: Python
Markets: equities

How to prepare

Build a research platform prototype with experiment tracking, for example MLflow
Learn Polars and compare it with pandas for large data
Study workflow orchestration and distributed compute basics
Understand how signals feed portfolio construction and risk models
Practise system design for data- and compute-heavy workloads

What to study

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.