Quant jobs / Swiss Re

Data Scientist

Swiss Re’s credit and surety team uses data science to analyse portfolio risk and profitability. This role develops analytical pipelines and decision tools for underwriting portfolios.

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.

Analyse credit-portfolio patterns.
Build scalable data pipelines.
Connect economic indicators with portfolio outcomes.

What they ask for

Required

Python and PySpark
SQL
Data visualisation
Analytical problem solving

Preferred

Credit-risk models
Palantir Foundry
Trade-finance knowledge

Education: Relevant university qualification or higher; exact level unspecified.
Experience: Five-plus analytical years and three-plus using SQL.
Languages and tools: Python
PySpark
SQL
Markets: credit

How to prepare

Analyse credit portfolio concentrations.
Build a tested portfolio-data pipeline.
Relate macro indicators to loss experience.

What to study

The NLP and ML Quant 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 Swiss Re’s site before applying: requirements, location and pay can change after we check them.

View the posting on Swiss Re’s site ↗

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