Quant jobs / Susquehanna International Group (SIG)

Quantitative Data Engineer

A Python-focused data engineering role in Susquehanna's European Quantitative Engineering and Data group, which serves researchers and traders. You turn raw datasets into model features and faster research code.

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.

Build model features and datasets that quant researchers use in strategy work
Profile and speed up slow research code and algorithms
Set up data orchestration so datasets refresh reliably
Pair with a researcher on a live project and take over its coding tasks

What they ask for

Required

Python (4+ years)
Pandas, Polars or PySpark (3+ years)
Algorithm design
Linux
Clear communication with researchers
STEM degree with independent work

Education: STEM degree, backed by independent work, a Masters or a PhD
Experience: 4+ years of professional Python and 3+ years with data manipulation libraries
Languages and tools: Python
Pandas
Polars
PySpark
Linux

How to prepare

Rebuild a slow Pandas feature pipeline in Polars and benchmark both
Practise profiling and vectorising numerical Python
Build a small scheduled data pipeline with clear dependencies
Engineer features from public market data for a toy return-prediction task

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 Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

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