Data Scientist - Voleon Securities

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets.

We are looking for an entrepreneurial Data Scientist to build out the data analysis frameworks for our business. You will be responsible for harvesting insights from a complex array of data, like digging into complexmarket microstructure and deep dive analysis of our live algorithmic trading strategies. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.  This role is a means to make a difference: as a machine learning company, data insights are essential to our business.

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

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)

Preferred:
• 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

Compensation
The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

“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 to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.

Equal Opportunity Employer
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.

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