The Voleon Group - Data Scientist (USA-Remote)
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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) • 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 • “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM • If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf.
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
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