Data Scientist

Summary

Join Voleon, a leading AI-driven investment management firm, as a Data Scientist to contribute to our data-driven investment initiatives. You will be responsible for extracting insights from complex datasets, performing data analysis, visualization, and communicating findings to researchers and executives. This role offers the opportunity to make a significant impact on our business. The position requires experience with data curation, analysis, and visualization using SQL, Pandas, and R, as well as statistical methods and software development skills. Voleon provides a competitive compensation and benefits package, including a base salary range of $150,000 to $190,000, comprehensive health insurance, paid time off, and a 401(k) plan.

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, Pandas, and R
• Basic software development skills and experience with bash, linux/unix, and git
• Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
• Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)

Responsibilities

• 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 them clearly to relevant stakeholders
• Perform extemporaneous analyses on research and production trading systems with leadership
• Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems
• Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring

Preferred Qualifications

• Master’s degree in a quantitative discipline
• Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
• Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow

Benefits

• Medical, dental, and vision coverage
• Life and AD&D insurance
• 20 days of paid time off
• 9 sick days
• A 401(k) plan with a company match