Data Scientist
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Job Description
About The Voleon Group:
The Voleon Group is a leading technology company specializing in applying advanced machine learning techniques to financial problems. With over a decade of experience, they have established themselves as a pioneer in using machine learning for investment management and have grown into a multibillion-dollar asset manager.
They boast a diverse and collaborative team comprised of internationally recognized machine learning experts, experienced technology and finance professionals, and individuals from various backgrounds including music, humanitarian aid, and sports. Their commitment to fostering a positive and supportive work environment is reflected in their competitive compensation and benefits, including technology talks, a modern office space, and daily catered lunches.
Job Description: Data Scientist
The Voleon Group is expanding its data-driven investment initiatives and is seeking a talented Data Scientist to join their new team. This role is crucial to Voleon’s success as a machine learning company, where data insights are essential.
Responsibilities:
• Data Integrity & Monitoring: Design and implement systems to ensure data accuracy and monitor the health of data stores and live feeds.
• Abnormal Behavior Detection: Proactively identify unusual production behavior and communicate findings to relevant stakeholders.
• Data Analysis & Insights: Conduct ad-hoc analyses on research and production trading systems, collaborating with leadership.
• Actionable Insights: Leverage financial expertise and statistical analysis to extract actionable insights from production trading and research systems.
• Automated Analysis: Design and implement pipelines to automate valuable analyses for ongoing monitoring.
Requirements:
• 1+ years of applied industry experience, including internships, working with complex datasets (curation, querying, aggregation, exploratory analysis, visualization).
• Expertise in statistical methods for data analysis, identifying patterns, conducting root cause analysis, discovering insights, and recommending solutions.
• Ability to translate complex questions into mathematical frameworks.
• Strong analytical skills to infer useful future directions from historical data.
• Proficiency in managing, processing, and visualizing tabular data using SQL, Pandas, and R.
• Basic software development skills with experience in bash, Linux/Unix, and git.
• Excellent communication skills to translate complex analysis into clear and concise reports.
• Bachelor’s degree in a quantitative field (statistics, biostatistics, data science, computer science, or related).
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 production-facing development environments and familiarity with CI/CD, git, and Airflow.
Compensation:
The base salary range for this position is $150,000 to $190,000. Actual salary is determined based on factors such as education, experience, knowledge, skills, and location. The benefits package includes comprehensive 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.
