Quant jobs / Voleon

Staff Software Engineer – Strategy Platform

A staff engineering role on the platform team connecting quantitative research to live trading at a machine-learning-driven investment manager. You would own data access, feature pipelines and strategy deployment systems.

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.

Own data access, validation and cataloguing across research and production
Streamline deploying research experiments into production
Integrate vendor data and unify symbol mappings
Run platform migrations with minimal disruption to live trading
Improve observability and experiment tracking across the strategy lifecycle

What they ask for

Required

8+ years in backend, data pipeline or platform engineering
Owning platform systems others depend on
Debugging and observability skills
Computer science degree or equivalent experience

Preferred

Airflow, Dagster, Spark, Iceberg, Trino or Flink
ML infrastructure patterns
Python

Education: Computer science degree or equivalent experience
Experience: 8+ years in backend, data pipeline or platform engineering
Languages and tools: Python
Markets: multi-asset

How to prepare

Build a market-data ingestion pipeline with point-in-time correctness
Study symbol mapping and corporate action handling across vendors
Learn feature store and experiment tracking design
Practise planning staged migrations of live systems

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.