Quant jobs / Man Group

Quantitative Developer – Systematic

A software engineering role in Man Group's new Shanghai front-office engineering team. It supports portfolio managers who develop and deploy systematic strategies.

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 for strategy development
Implement trading signals in Python
Build portfolio optimisation and visualisation tools
Improve the research platform for speed and reliability

What they ask for

Required

Two years or more in software engineering, ideally quantitative
Python with Pandas, NumPy, SciPy, statsmodels, scikit-learn
Production systems experience
Linux and Git
A database such as MS SQL, Postgres or MongoDB

Preferred

Front-office quant development
Large structured and unstructured datasets
React web apps
Spark, Dask, Kubernetes, Redis
Time-series and statistics knowledge

Education: Not stated
Experience: 2+ years in software engineering
Languages and tools: Python
SQL
MongoDB
Linux
Git

How to prepare

Build a small research pipeline: ingest data, compute a signal, test it
Write unit tests and monitoring for a data job
Practise Pandas performance tuning
Learn the basics of time-series statistics

What to study

Apply

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

View the posting on Man Group’s site ↗

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