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The Voleon GroupThe Voleon GroupBerkeley, CA

Data Scientist

Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.

Salary not listed
Hybrid1+ YOEData Science

About the role

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

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)

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

Skills

SQLpandasRBashGitLinuxStatisticsData VisualizationAirflowCI/CD

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