Data Scientist

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)

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

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