Responsibilities
- Work closely with Technical Product Owners to prioritize high-level needs around analytics and insight extraction, proceeding autonomously with implementation details
- Proactively identify abnormal production behavior, investigate and rationalize this behavior, and/or guiding other Data Scientists to do so
- Communicate results of investigations clearly to relevant stakeholders, with actionable insights clearly highlighted and prioritized
- Design analysis pipelines that automate those analyses found to be valuable for ongoing monitoring, overseeing their implementation, and successful deployment
- Guide and manage the technical efforts of other Data Scientists
- Cultivate in yourself and other Data Scientists some expertise in financial and statistical analysis to gain actionable insights into our production trading and research systems
Requirements
- 3+ 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 quantitatively
- 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 tooling skills, including bash, Unix, and git
- Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
- Bachelor’s and Master’s degrees in quantitative disciplines (statistics, biostatistics, data science, computer science, or a related field)
Preferred
- Experience leading the efforts of a team of technical contributors
- 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
Similar Jobs
What We Do
Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.
The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.
Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.