Quant jobs / Voleon

Software Engineer – Strategy Research Analytics

A data engineering role owning the analytics pipelines that report on trading strategy research. It sits in Research Engineering, serving data scientists and researchers across strategies.

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.

Run and harden recurring analytics pipelines such as Airflow jobs
Standardise strategy outputs into one analytics schema
Add monitoring, alerting and runbooks
Tune distributed query performance and file layouts
Document datasets and metadata for researchers

What they ask for

Required

3+ years in analytics or data infrastructure
Strong Python and SQL
Distributed query engines
Data modelling and partitioning
Metadata and lineage

Preferred

Leading platform migrations
AWS and Slurm-style clusters
Exposure to quantitative research or ML

Education: Computer science bachelor's or equivalent experience
Experience: 3+ years building analytics or data infrastructure
Languages and tools: Python
SQL

How to prepare

Build an Airflow pipeline writing partitioned Parquet tables
Learn Presto/Trino or Spark query tuning
Study schema design and data contracts
Practise writing runbooks and SLO-style monitoring

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.