Quant jobs / Voleon

Senior Software Engineer – Strategy Platform

A platform engineering role on the team that connects quantitative research to live trading at an ML-driven hedge fund. It owns the data, feature and deployment systems researchers rely on.

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.

Unify vendor data feeds and symbol mappings used by research and production
Build tooling to move research experiments into live deployment
Maintain time-aware data pipelines with strict latency and correctness needs
Add support for new assets and markets in the platform
Improve cataloguing, experiment tracking and production monitoring

What they ask for

Required

5+ years in backend, data pipeline or platform engineering
Ownership of systems other teams depend on
Strong debugging and observability skills
Data modelling and migration planning
Computer science degree or equivalent

Preferred

Airflow, Dagster, Spark, Iceberg, Trino or Flink
ML infrastructure patterns such as feature stores
Python fluency

Education: Computer science degree or equivalent experience
Experience: 5+ years in backend, data or platform engineering
Languages and tools: Python

How to prepare

Build a small pipeline that joins multi-vendor market data with point-in-time correctness
Learn orchestration with Airflow or Dagster and practise schema versioning
Study how feature stores and experiment tracking work
Read about data lineage and how bad timestamps cause look-ahead bias

What to study

Apply

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

View the posting on Voleon’s site ↗

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