The Voleon Group

The Voleon Group

Data Scientist

Berkeley, CA

Sponsorship not specifiedDetected 96 days ago
BashGitSQLCI/CDLinuxMachine LearningPandasAirflowData AnalysisData ScienceStatisticsResearchLeadershipCommunicationBiostatistics

About the role

  • Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance.
  • We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
  • Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.

Responsibilities

  • Perform extemporaneous analyses on research and production trading systems with leadership
  • Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring

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
  • 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)

Nice to have

  • 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
  • "FRIENDS OF VOLEON" CANDIDATE REFERRAL PROGRAM

Compensation

  • In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

Benefits

  • Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds

Company info

  • For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management.
  • In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
  • As a Data Scientist, you will be responsible for harvesting insights from a complex array of data.
  • Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.
  • as a machine learning company, data insights are essential to our business.

Equal opportunity

  • 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.
  • 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.

Visa & Work Authorization

  • ational 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

This listing is sourced directly from The Voleon Group's careers page and normalized into a canonical job model.