Quant jobs / Voleon

Data Scientist (London)

A data science role analysing research and production trading data at an ML-driven hedge fund. It focuses on data health, monitoring and insight for researchers and leadership.

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 checks for data correctness in stores and live feeds
Flag abnormal production behaviour to stakeholders
Run statistical analyses on production trading data
Turn useful analyses into automated monitoring pipelines

What they ask for

Required

1+ years of applied data work, internships count
Statistics and root-cause analysis
SQL, polars and R
bash, Unix and git
Clear reports
Quantitative bachelor's degree

Preferred

Master's degree
Interest in finance
CI/CD and Airflow

Education: Bachelor's in statistics, data science, computer science or similar; master's preferred
Experience: 1+ years including internships
Languages and tools: SQL
Python
R
bash

How to prepare

Practise fast tabular analysis with polars and SQL
Build an anomaly monitor for a price or volume feed
Learn root-cause analysis habits
Write short, clear analysis reports

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.