Quant jobs / Garda Capital Partners

Software Engineer

This engineer joins Garda’s technology team serving risk managers. The remit covers applications and quantitative analytics covering bond portfolios and rates derivatives.

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 C# and Python services for risk and exposure monitoring
Productionise risk analytics using scientific Python
Maintain SQL-backed data services and efficient Parquet workflows
Deploy and troubleshoot portfolio-risk applications

What they ask for

Required

Four or more years using C# and Python
SQL and object-relational database tools
Scientific Python
Parquet datasets
Docker or Kubernetes
Full-stack development
gRPC service familiarity

Preferred

Fixed-income risk analytics
JavaScript/React

Education: Bachelor qualification in computing, engineering, maths or finance.
Experience: 4+ years each in object-oriented development and relational database work.
Languages and tools: C#
Python
SQL
NumPy
pandas
SciPy
Polars
DuckDB
Parquet
Docker
Kubernetes
gRPC
Oracle
Postgres
Markets: fixed-income

How to prepare

Build a small service that calculates bond portfolio exposures
Validate Python risk outputs against controlled examples
Package a SQL-backed analytics service and diagnose failures

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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

View the posting on Garda Capital Partners’s site ↗

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