Data Scientist

This is not a traditional business analytics or reporting role. The team sits close to the research process, evaluating new datasets, generating insights, building research-ready features, and helping determine whether data can contribute to investment decision-making. The work combines elements of data science, alternative data research, statistical analysis, and production data workflows.

Responsibilities

• Analyze large structured and unstructured datasets to identify actionable insights and patterns
• Evaluate new market, fundamental, and alternative datasets for potential research value
• Perform exploratory data analysis, statistical testing, and feature development
• Clean, normalize, and enrich datasets used by research teams
• Partner directly with quantitative researchers and portfolio managers to understand data requirements and research objectives
• Develop automated data quality monitoring and validation processes
• Work with data vendors and internal stakeholders to assess and onboard new datasets
• Create research-ready datasets and derived features for downstream modeling and analysis
• Help improve data workflows through automation, modern tooling, and AI-assisted solutions

Qualifications

Junior Level

• 1-5 years of experience in Data Science, Analytics, Quantitative Research, or a related field
• Strong Python and SQL skills
• Experience working with large datasets
• Strong statistical and analytical background
• Excellent problem-solving and communication skills

Senior Level

• 5+ years of experience in Data Science, Quantitative Analytics, or Research-focused data roles
• Deep expertise in Python, SQL, and statistical modeling
• Experience evaluating complex datasets and generating business or research insights
• Ability to work independently with researchers and stakeholders across the organization
• Strong understanding of experimental design, data quality, and feature engineering

Preferred Backgrounds

• Alternative Data
• Financial Services
• Asset Management
• Quantitative Investing
• FinTech
• Market Data
• Consumer, Transaction, Web, Geospatial, or Other Large-Scale Datasets

Why This Opportunity

• Direct exposure to investment and research teams
• Significant ownership over alternative and proprietary datasets
• Opportunity to work on problems that directly influence research and decision-making
• Highly technical environment leveraging Python, SQL, cloud technologies, and modern data platforms
• Exposure to a broad range of datasets, industries, and analytical challenges
• Clear connection between your research, insights, and real-world outcomes