Senior Investment Risk & Data Science Analyst

Harbor Capital Advisors, Inc.; Chicago (IL); Hybrid; USD 150,000 - 175,000; Full time

Job summary

Harbor Capital Advisors, Inc. is seeking a Senior Analyst for its Investment Risk and Data Science (IRDS) team, reporting to the Head of IRDS.

The role focuses on analyzing portfolio performance, risk, and positioning while developing analytical tools to support decision-making. The position emphasizes building scalable code, documenting processes, and collaborating across teams to strengthen the firm’s analytical capabilities.

Qualifications

• Bachelor’s degree in finance, economics, mathematics, statistics, computer science, engineering, or a related field.
• 5-10 years of relevant professional experience.
• 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 data quality.

Responsibilities

• Analyze portfolio performance, positioning, characteristics, and risk using qualitative and quantitative information.
• Develop investment insights for the Investment Research team and other decision-makers.
• Collaborate with Analysts and Research Directors on oversight of subadvisors.
• Design, build, test, and maintain analytical tools, applications, and data workflows in Python, R, SQL, or similar technologies.
• Improve reliability and scalability of recurring analytical processes through automation and controls.
• Establish and follow sound development practices with version control, code review, testing, and documentation.

Skills

Python

R

SQL

Attention to detail

Communication

Collaboration

Ownership

Education

Bachelor's degree

Tools

FactSet

Morningstar Direct

Job description

Harbor Capital Advisors, Inc. is seeking a Senior Analyst for its Investment Risk and Data Science (IRDS) team, reporting to the Head of IRDS.

The role focuses on analyzing portfolio performance, risk, and positioning while developing analytical tools to support decision-making. The position emphasizes building scalable code, documenting processes, and collaborating across teams to strengthen the firm’s analytical capabilities.