Data Scientist
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Job Description
About Voleon:
Voleon is a technology company specializing in applying advanced machine learning to financial challenges. With over a decade of experience, they’ve become a leading, multi-billion dollar asset manager. Their team boasts internationally recognized machine learning experts, experienced technology and finance professionals, and individuals from diverse backgrounds (music, humanitarian aid, sports writing, etc.). The company emphasizes a collaborative and supportive work environment.
Job Description: Data Scientist
Voleon’s newly formed team is seeking a Data Scientist to contribute to their data-driven investment initiatives. This role is crucial to their business, as data insights are central to their machine learning approach.
Responsibilities:
• Data Integrity and Monitoring: Design and implement systems to ensure data accuracy and monitor the health of data stores and live feeds. Proactively identify and communicate abnormal production behavior to stakeholders.
• Real-time Analysis: Perform ad-hoc analyses on research and production trading systems, presenting findings to leadership.
• Actionable Insights: Leverage financial expertise and statistical analysis to extract actionable insights from production trading and research systems.
• Automated Analysis Pipelines: Design and implement automated analysis pipelines for valuable ongoing monitoring tasks.
Requirements:
• 1+ years of applied industry experience (internships included) working with complex datasets, encompassing curation, querying, aggregation, exploratory data analysis, and visualization.
• Experience using statistical methods for data analysis, pattern identification, root cause analysis, insight discovery, and solution recommendation.
• Strong mathematical abilities to frame and answer questions mathematically.
• Ability to extrapolate forward-looking trends from retrospective analyses.
• Proficiency in managing, processing, and visualizing tabular data using SQL, Pandas, and R.
• Basic software development skills with bash, Linux/Unix, and Git.
• Excellent communication skills to refine ambiguous requests and produce clear, impactful reports.
• Bachelor’s degree in a quantitative field (statistics, biostatistics, data science, computer science, or related field).
Preferred Qualifications:
• Master’s degree in a quantitative discipline.
• Prior industry experience or demonstrated interest in finance (academic projects, financial engineering coursework, internships).
• Experience in a production environment and familiarity with CI/CD, Git, and Airflow.
Compensation:
The base salary range is $150,000 to $190,000, varying based on factors like education, experience, skills, and location. Benefits include medical, dental, vision, life insurance, 20 days of PTO, 9 sick days, and a 401(k) plan with a company match.
