Income Research + Management

Income Research + Management is a Boston-based, privately owned, fixed income asset management firm. IR+M delivers strong performance and consistent results through a rigorous, bottom-up security selection process and strives to provide best-in-class client service to our 900+ institutional and private wealth clients.    

Founded in 1987 and located in the heart of Boston’s financial district, IR+M employs 200+ full time professionals and currently manages $100+ Billion in assets. We offer industry-leading benefits, as well as a challenging, collegial, and rewarding workplace with high levels of employee engagement.  

Job Description:

We are seeking a highly motivated MBA candidate (rising second year) to join our Portfolio Management team for a summer internship. This role offers a unique opportunity to work closely with Portfolio Managers and Analysts on high-impact projects that enhance investment decision-making and portfolio construction.

As a Summer Associate, you will play a key role in building quantitative models, automation tools, and analytical frameworks that directly inform portfolio strategy and client outcomes. You will gain hands-on exposure to the investment process, deepen your technical and financial acumen, and contribute to the development of scalable solutions that drive efficiency across the investment platform.

Responsibilities:

·       Partner with Portfolio Managers and Analysts to support portfolio construction, optimization, and risk management initiatives.

·       Design and implement quantitative models to support investment research, asset allocation, and performance analysis.

·       Develop automation tools and data pipelines to streamline workflows and improve operational efficiency.

·       Conduct in-depth data analysis to generate insights that inform investment decisions.

·       Prepare clear, actionable reports and visualizations for internal stakeholders and senior management.

Qualifications:

·       Current MBA student (first year, graduating in 2027) with a strong academic record.

·       Undergraduate degree in finance, economics, mathematics, engineering, computer science, or a related field.

·       Demonstrated proficiency in MS Excel (advanced modeling, data analysis) and Python (data analysis, automation, or financial modeling).

·       Strong analytical, quantitative, and problem-solving skills with an ability to translate data into insights.

·       Excellent communication and collaboration skills; able to work effectively in a fast-paced, team-oriented environment.

·       Prior professional experience (internship or full-time) in the fixed income space is strongly preferred.