Senior Analyst, Investment Risk and Data Science

Harbor Capital Advisors, Inc.•New York, NY

11d•$150,000 - $175,000•Hybrid

About The Position

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 and is primarily responsible for monitoring the performance, risk, and positioning of Harbor investment strategies, analyzing prospective investment partners, supporting the development of new Harbor investment products, providing timely, decision-ready portfolio analysis to the Investment Research team, designing, building, and maintaining analytical tools and data-driven processes that improve investment decision-making across the firm, strengthening the reliability, scalability, and continuity of the team’s analytical and coding capabilities, and providing investment analysis and analytical support for internal and external communications when needed. This hire will analyze portfolio performance, characteristics, and risk for existing Harbor strategies, support due diligence on prospective strategies, and develop analytical tools used by the Investment Research team and other stakeholders. A central responsibility of the role will be to strengthen the resilience of the team’s technical capabilities. This includes building maintainable code, improving shared development practices, documenting analytical processes, reducing reliance on individual team members, and helping colleagues use and support the team’s analytical tools. The ideal candidate combines investment judgment with strong coding and data skills. The candidate should be a self-starter who takes ownership of problems, develops practical solutions, and moves work forward with limited direction while contributing to a collaborative and sustainable team environment.

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 audiences with varying levels of expertise.
Strong sense of ownership, responsiveness, and follow-through.

Nice To Haves

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 equity, fixed income, commodity, or multi-asset 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, including modular design, separation of concerns, dependency management, and reproducibility.
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.

Responsibilities

Analyze portfolio performance, positioning, characteristics, and risk using qualitative and quantitative information from portfolio management teams, researchers, market data, analytical platforms, and internal databases.
Develop and clearly articulate investment insights that help the Investment Research team and other decision-makers understand portfolio outcomes, exposures, and sources of risk.
Collaborate with Analysts and Research Directors on recurring oversight of existing subadvisors and the underwriting of prospective subadvisors.
Design, build, test, and maintain analytical tools, applications, and data workflows using Python, R, SQL, or other appropriate technologies.
Improve the reliability and scalability of recurring analytical processes through automation, validation, monitoring, and appropriate controls.
Establish and follow sound development practices, including version control, code review, testing, documentation, reproducible analysis, and clearly defined ownership.
Review and improve existing code, models, and analytical workflows to reduce operational risk, technical debt, and reliance on individual team members.
Create clear technical and process documentation so that analytical tools and workflows can be understood, maintained, and supported by multiple members of the team.
Help develop shared coding standards, reusable components, and common analytical frameworks across the IRDS team.
Support the technical development of other team members through collaboration, code review, knowledge sharing, and informal mentoring.
Identify gaps or inefficiencies in the team’s methods for measuring and reporting strategy performance, characteristics, and risk, and take ownership of implementing improvements.
Build tools that make complex investment analysis accessible and actionable for both technical and non-technical users.
Research and implement improved methods for identifying, evaluating, and communicating sources of alpha and risk within actively managed strategies.
Prepare accurate and time-sensitive analytical reports for Harbor’s Board of Directors, internal investment committees, and other senior stakeholders.
Participate in due diligence meetings with current and prospective subadvisors and synthesize quantitative and qualitative findings into actionable investment perspectives.
Provide analytical support for fund-specific materials, webinars, client communications, and other external content as business needs require.