Quant jobs / Voleon

Data Scientist

A data science role analysing research and production trading data at an ML-driven hedge fund. It checks data health and turns findings into 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 that catch bad data in stores and live feeds
Spot odd production behaviour and report it to the right people
Run ad hoc analyses on trading and research systems
Automate valuable analyses into ongoing monitoring pipelines

What they ask for

Required

1+ years of applied data work, internships count
Statistical analysis and root-cause thinking
SQL, Pandas and R
bash, Unix and git
Clear written reporting
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 exploratory analysis on messy tick or price data in Pandas and SQL
Build a data-quality monitor with alerting thresholds
Learn root-cause analysis on anomalies in time series
Learn basic Airflow scheduling

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.