Principal Data Science

About the role

The Role AltIQ is seeking a Principal Data Scientist to help transform alternative investment data into relevant insights and intelligence. This role will focus on analyzing structured and unstructured investment data, developing quantitative models, identifying relevant patterns, and creating analytical frameworks that help investors better understand funds, managers, and investment opportunities.

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 to partners in a clear and understandable manner.
• Mentor junior team members and contribute to analytical guidelines.

Requirements

The Expertise You Have:

• 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 to partners in a clear and understandable manner.
• Mentor junior team members and contribute to analytical guidelines.

Qualifications

• Bachelor's or equivalent with 12+ years of experience or Master's with 10+ years of experience in Data Science, Statistics, Mathematics, Economics, Finance, Computer Science, Engineering, or a related field.

Skills

The Expertise You Have:

• Expertise in data analysis, modeling, and machine learning techniques.
• Experience with data engineering and data management practices.
• Strong understanding of financial markets and investment strategies.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication and presentation skills.

Benefits

Fidelity offers a comprehensive benefits package including:

• Comprehensive health care coverage and emotional well-being support.
• A competitive retirement plan with generous contributions.
• Generous paid time off and parental leave.
• A charitable giving employee match program.
• Student loan repayment and tuition reimbursement programs.
• Learning resources to develop your career.

Pay

The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

Schedule

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.