Typical Set, LLC
Position: Data Scientist
Responsible for harvesting insights from a complex array of data. Role involves data curation, analysis, interpretation, visualization, and communication of his findings to members of the research staff and executive leadership. Leverage end-to-end industry experience to work with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization. Use statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions. Infer useful forward-looking directions from results of retrospective analysis. Responsible for managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R. Refine requirements from ambiguous requests to produce reports demonstrating excellence in communication. 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.
This position requires a Master’s degree or equivalent in Statistics, Finance, Mathematics, Data Science, or a related quantitative field and 2 years of related experience. Must also have each of the following: (1) 12 months of demonstrated experience conducting exploratory data analysis and statistical hypothesis testing across diverse data sources to derive actionable insights; (2) 12 months of demonstrated experience collaborating with researchers, developers, and traders on production monitoring, system design, documentation and knowledge transfer, and project execution; (3) 12 months of demonstrated experience exploring and visualizing tabular data using SQL and Python or R, and summarizing results into written reports and presentations tailored for technical audiences; (4) 12 months of demonstrated experience evaluating risk–return profiles and performance metrics of strategies across different asset classes (e.g. equities, bonds, futures, derivatives), leveraging pricing models and simulation/backtesting frameworks for strategy and model validation; and (5) Demonstrated experience developing and maintaining automated data-analysis pipelines using Python or R (and Bash or equivalent shell scripting), with unit and integration testing; Git-based version control on a hosted repository platform (e.g., GitHub or equivalent); workflow orchestration tools (e.g., Airflow/Prefect/Luigi or equivalent); and production deployment and monitoring. Will accept experience gained before, during, or after Master’s program. Employer will accept experience gained concurrently. Salary: $160,000 to $180,000/year. Full-time, position located in Berkeley, CA. To apply, email resume to workwithus@voleon.com and reference requisition #DS2608.