Quant jobs / Man Group

Lead Quantitative Developer – Systematic

A lead engineering role setting up a new Shanghai team in Man Group's front-office engineering group. The team builds the tooling that portfolio managers use to develop and run 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 and implement trading signals
Build portfolio optimisation and visualisation tools
Improve the research platform and its performance
Hire, mentor and lead a new engineering team
Deliver production systems with solid testing and monitoring

What they ask for

Required

Five years or more in software engineering, ideally quantitative
Experience as a tech lead or people manager
Expert Python and Pandas with NumPy, SciPy, statsmodels, scikit-learn
Production systems experience
Linux and Git
A database such as MS SQL, Postgres or MongoDB

Preferred

Front-office quant engineering
React web apps
Spark, Dask, Kubernetes, Redis
Data engineering and ETL
Knowledge of markets and time series

Education: Not stated
Experience: 5+ years in software engineering, with team leadership
Languages and tools: Python
SQL
MongoDB
Kafka
Airflow
Docker
Linux
Git

How to prepare

Build a signal-to-portfolio pipeline in Python with tests and monitoring
Practise designing scalable data pipelines using Airflow and Kafka
Study performance tuning for Pandas and NumPy workloads
Prepare examples of leading engineers and delivery

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.