Principal Data Science
About The Position
AltIQ is seeking a Principal Data Scientist to transform alternative investment data into relevant insights and intelligence. The role analyzes structured and unstructured investment data, develops quantitative models, identifies patterns, and creates analytical frameworks to help investors understand funds, managers, and investment opportunities. Data sources include private placement memoranda (PPMs), prospectuses, performance reports, manager disclosures, and other investment-related materials. Working directly with Data Engineering, Applied AI, Product, and Business teams, the Principal Data Scientist will develop proprietary insights and analytics for capabilities across the AltIQ platform, potentially including benchmarking, fund comparisons, manager scoring, market intelligence, performance analysis, risk analysis, and investment research tools. This is a hands-on role focused on complex analytical problems, messy real-world data, and turning information into actionable intelligence. The position is part of Fidelity Labs, Fidelity Investments’ in-house FinTech incubator, which builds and tests new businesses, products, and services. Fidelity’s onsite working model is undergoing a phased rollout, and onsite expectations vary by role and location and may evolve.
Requirements
- Bachelor’s degree or equivalent with 12 or more years of experience, or a master’s degree with 10 or more years of experience.
- Experience in Data Science, Statistics, Mathematics, Economics, Finance, Computer Science, Engineering, or a related field.
Responsibilities
- Analyze large volumes of structured and unstructured investment data to identify trends, patterns, and actionable insights.
- Develop analytical models, scoring methodologies, and benchmarking frameworks for alternative investments.
- Create quantitative analyses to support fund comparisons, manager evaluation, and investment research.
- Design and maintain data models and metrics that support reporting and product capabilities.
- Partner with Data Engineers to ensure data quality, consistency, and accessibility.
- Build statistical and predictive models to support business and product objectives.
- Develop dashboards, reports, and visualizations that communicate insights effectively to users and partners.
- Conduct exploratory analysis to uncover opportunities for new products, features, and investment intelligence.
- Collaborate with Product and Business teams to translate user needs into analytical solutions.
- Present findings and recommendations clearly to partners.
- Mentor junior team members and contribute to analytical guidelines.
Benefits
- Comprehensive health care coverage
- Emotional well-being support
- Market-leading retirement benefits
- Generous paid time off
- Parental leave
- Charitable giving employee match program
- Educational assistance, including student loan repayment, tuition reimbursement, and learning resources
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What This Job Offers
Job Type
Full-time
Career Level
Principal
