Quant jobs / NLS

Quantitative Developer - Global Quant Fund - Hong Kong

NLS recruits a junior-to-mid-level developer for an unnamed quantitative fund. The role implements research models and prepares datasets for testing and production.

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.

Code predictive models in Python.
Prepare and validate research data.
Improve backtesting and runtime efficiency.

What they ask for

Required

Python
Numerical libraries
SQL
Statistical foundations
Communication

Education: Bachelor’s or master’s study in computing, mathematics, statistics, finance or related subjects.
Experience: Junior-to-mid-level position; no year minimum specified.
Languages and tools: Python
pandas
NumPy
SciPy
SQL

How to prepare

Implement a model with numerical tests.
Prepare a clean backtest dataset.
Profile a Python research pipeline.

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

View the posting on NLS’s site ↗

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