Data Scientist

The Voleon Group; Greater London; Hybrid; GBP 50,000 - 84,000; Full time

Job summary

The Voleon Group in London seeks a data scientist to uncover insights from complex financial data. You will curate, analyze, and visualize data, communicating findings to the research staff and leadership in a clear and actionable way.

The role requires statistics and ML experience, strong mathematical thinking, and the ability to work in a hybrid, production-influenced environment within our Research department.

Qualifications

• 1+ years of end-to-end data experience in industry or internships with complex datasets
• Experience using statistical methods to analyze data, identify patterns, and derive insights
• Ability to frame and answer questions mathematically
• Ability to infer forward-looking directions from retrospective analysis
• Fluency in managing, processing, and visualizing tabular data using SQL, Polars and R
• Basic software development skills with Bash, Linux/Unix and Git
• Ability to refine requirements from ambiguous requests
• Excellent communication and ability to produce clear reports
• Bachelor's degree in a quantitative discipline; master's preferred
• Prior finance-interest or related projects/internships preferred
• Experience in production-facing environments with familiarity to CI/CD, Airflow is preferred

Responsibilities

• Find insights from a complex array of data
• Curation, analysis, interpretation, visualization, and communication of findings to research staff and leadership
• Design and implement systems to ensure data correctness and monitor data health in stores and feeds
• Identify abnormal production behavior and communicate it clearly to stakeholders
• Perform extemporaneous analyses on research and production trading systems with leadership
• Perform statistical analyses on production trading data and research data to inform further projects
• Design and implement analysis pipelines that automate valuable analyses for ongoing monitoring

Skills

Data analysis

Statistical methods

Mathematical framing

Communication

Report writing

Education

Bachelor's degree in quantitative discipline

Master's degree preferred

Tools

SQL

Polars

R

Bash

Git

Job description

Salary: £50,000 - 84,000 per year

Requirements

• 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
• Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
• Ability to frame and answer questions mathematically
• Ability to infer useful forward-looking directions from results of retrospective analysis
• Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R
• Basic software development skills and experience with bash, linux/unix, and git
• Ability to refine requirements from ambiguous requests
• Excellence in communication and ability to produce complete and clear reports
• Bachelors degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
• Masters degree in a quantitative discipline is preferred
• Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships is preferred
• Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow is preferred

Responsibilities

• Find insights from a complex array of data
• Conduct data curation, analysis, interpretation, visualization, and communication of findings to members of the research staff and leadership
• Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds
• Proactively identify abnormal production behavior and communicate it clearly to relevant stakeholders
• Perform extemporaneous analyses on research and production trading systems with leadership
• Perform statistical analyses on production trading data and research data to inform further projects
• Design and implement analysis pipelines that automate valuable analyses for ongoing monitoring

Technologies

• AI
• Airflow
• Bash
• CI/CD
• Git
• Linux
• Machine Learning
• SQL
• Unix

More

Voleon is a technology company applying state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management, and we have become a multibillion-dollar asset manager with ambitious goals for the future. Our colleagues include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. We offer a collegial working environment, highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. This role is based in London, is full time, and is hybrid, within our Research department.

last updated 40 week of 2026