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About the Role

Harbor Capital Advisors is seeking a Senior Analyst to join its Investment Risk and Data Science (IRDS) team. This role will analyze portfolio performance, characteristics, and risk, support due diligence on prospective strategies, and develop analytical tools. A key responsibility is strengthening the team's technical capabilities through maintainable code, improved development practices, and documentation.

Responsibilities

Analyze portfolio performance, positioning, characteristics, and risk using qualitative and quantitative information.
Develop and articulate investment insights to aid decision-making.
Collaborate with teams on oversight and underwriting of subadvisors.
Design, build, test, and maintain analytical tools, applications, and data workflows.
Improve the reliability and scalability of analytical processes through automation, validation, monitoring, and controls.
Establish and follow sound development practices, including version control, code review, testing, documentation, and reproducible analysis.
Review and improve existing code, models, and analytical workflows.
Create clear technical and process documentation for maintainability and support.
Help develop shared coding standards, reusable components, and common analytical frameworks.
Support the technical development of other team members through collaboration and knowledge sharing.
Identify and implement improvements for measuring and reporting strategy performance, characteristics, and risk.
Build tools to make complex investment analysis accessible and actionable.
Research and implement improved methods for identifying, evaluating, and communicating sources of alpha and risk.
Prepare accurate and time-sensitive analytical reports for senior stakeholders.
Participate in due diligence meetings and synthesize findings into actionable investment perspectives.
Provide analytical support for fund-specific materials, webinars, client communications, and external content.

Requirements

Bachelor’s degree in finance, economics, mathematics, statistics, computer science, engineering, or a related field.
5-10 years of relevant professional experience.
Experience in, or strong knowledge of, the asset management industry.
Strong proficiency in Python or R and SQL.
Ability to independently investigate open-ended investment and data questions.
Ability to learn new technologies, data sources, and analytical methods.
Strong attention to detail and a demonstrated commitment to data quality and analytical accuracy.
Ability to work effectively in a fast-paced and evolving environment.
Strong collaboration and communication skills, including the ability to explain technical and investment concepts to diverse audiences.
Strong sense of ownership, responsiveness, and follow-through.
Demonstrated experience developing, maintaining, and improving code-based analytical tools or data workflows in a professional environment.
Experience testing, debugging, reviewing, and documenting analytical code.
Ability to design solutions that are reliable, reusable, maintainable, and understandable to other team members.
Experience analyzing, or a strong interest in analyzing, portfolio risk across various strategies.
Experience designing reusable Python or R packages, libraries, modules, or shared analytical components.
Experience implementing automated testing, data validation, workflow monitoring, or continuous integration processes.
Experience working with investment data platforms such as FactSet and Morningstar Direct.
Familiarity with software-development principles applicable to analytical environments.
Demonstrated ability to use large language models and agentic AI tools to improve analytical development, documentation, testing, quality assurance, and workflow efficiency.
Sound judgment regarding the controlled and responsible use of AI tools with proprietary data, investment information, and analytical processes.
Exceptional attention to detail.
Ability to work collaboratively with stakeholders with varying levels of investment and technical knowledge.
Ability to communicate analytical conclusions clearly.
Comfort working across the full analytical lifecycle, including data acquisition, transformation, validation, analysis, implementation, documentation, and ongoing support.
Ability to combine quantitative tools with qualitative investment assessments.
Ability to translate complex analysis into clear insight and practical recommendations.

Skills

Python
R
SQL
Data Analysis
Investment Analysis
Portfolio Analysis
Risk Analysis
Data Science
Coding
Software Development Principles
Version Control
Code Review
Testing
Documentation
Automation
Data Validation
Workflow Monitoring
Continuous Integration
Large Language Models
Agentic AI Tools

Location

New York
Chicago
Boston

Work Type

Hybrid

Experience Level

Senior
5-10 years

Education Level

Bachelor's degree in finance, economics, mathematics, statistics, computer science, engineering, or a related field.

Salary/Compensations

$150,000–$175,000

About the Company

Harbor Capital Advisors is seeking a Senior Analyst to join its Investment Risk and Data Science (IRDS) team, reporting to the Head of IRDS. The IRDS team is part of the broader Harbor Investment Research team.