Data Scientist

• 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

• 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

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.