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: 

Income Research + Management seeks an enthusiastic, team-oriented individual to join the Investment Technology team. They will work on highly engaging projects with Software Engineers, Business Analysts, Portfolio Managers, Traders, and Portfolio Analysts. They’ll need technical and finance knowledge to help us solve challenges relating to portfolio optimization and construction, risk monitoring, and trade generation.  The role requires an understanding of fixed income markets, bond analytics, and portfolio construction. The successful candidate will be a results-oriented self-starter with an eye toward detail. This highly visible role will report directly to the Head of Investment Technology.

Summary of essential job functions

·       Assist in development of portfolio construction models in conjunction with the Investment Team.

·       Build data acquisition and transformation pipelines to be used as source data for the models.

·       Work both under the guidance of Architects and with teams on projects that aim to move the firm forward.

·       Drive the firm’s data science platform and user group forward.

·       Documentation of required project artifacts.

·       Participate in project responsibilities, such as design review, process analysis, gap analysis, functional design, unit testing, and execution.

Requirements

·       Understanding of fixed income instruments and mechanics, portfolio construction methodologies, and the workflow of investment functions.

·       Experience using Python and related data science packages.

·       Experience assembling data and storing in relational data stores.

·       Experience using statistical model concepts to forecast outcomes and extract insights.

·       Exceptional communication skills, verbal and written, to explain findings and seek feedback.

·       Results oriented – strives to achieve elevated levels of individual and organizational performance.

·       Must be a self-starter, self-motivated, with solid soft skills, able to work independently and understand when to ask for help

·       Solid analytical capabilities, strong problem solving, and documentation skills.

·       Ability to organize, work on, and manage multiple priorities, understanding the strategy and lean towards delivery.

·       Bachelor’s degree or work equivalent.

·       Previous work experience in a corporate setting is a plus.

Educational Requirements

·       Currently pursuing a Bachelor's or Master's degree

·       Expected graduation date: December 2026 or May 2027

·       Relevant internship experience preferred

·       Seeking a second Co-Op opportunity starting June 2026