Summer MBA, Investment Team (2026)
Summer MBA, Investment Team (2026)
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Job Description
Income Research Management
Income Research Management is a Boston-based privately owned fixed income asset management firm. IRM 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 Bostons financial district IRM 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.
Open Position: Summer MBA Investment Team
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.
Employment Type
Temp
