Data Scientist
Confirmed live in the last 24 hours
The Voleon Group

201-500 employees

Quantitative hedge fund
Company Overview
The Voleon Group is committed to the development and deployment of cutting-edge technologies in investment management. The company applies rigorous data-driven techniques to financial markets, driven by in-house innovations in machine learning.
AI & Machine Learning
Data & Analytics
Financial Services

Company Stage

N/A

Total Funding

N/A

Founded

2007

Headquarters

Berkeley, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

21%

2 year growth

28%
Locations
Oakland, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Bash
Airflow
Data Science
R
Git
SQL
Pandas
Linux/Unix
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
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)
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
Desired 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