Fixed Income Portfolio & Data Analyst

Summary: The Fixed Income Portfolio Data Analyst supports the firm's Municipal and Taxable Fixed Income investment teams through strategy attribution, portfolio positioning and characteristics analysis, and risk controls reporting. As a member of the Enterprise Data Analytics (ED A) team, this role serves as the primary analytical bridge between the fixed income investment professionals and the firm's broader reporting and data infrastructure. The analyst will manage recurring weekly and monthly deliverables, respond to daily ad-hoc requests from portfolio managers, and support the broader ED A team with custom client requests, marketing material production, and RFP/DDQ responses.

Responsibilities

: Produce and maintain fixed income reporting (attribution, positioning, characteristics, and risk) on a recurring and ad hoc basis Develop and enhance Bloomberg PORT Enterprise views, groupings, and reports to support portfolio analysis and investment decisions Utilize BQL and BQuant to extract, analyze, and improve portfolio and market data workflows Act as the primary analytics partner to fixed income investment teams, delivering insights and addressing ad hoc requests Support creation and review of client-facing materials, including marketing content, factsheets, pitchbooks, RFPs, and DDQs Assist with custom analyses and deliverables for clients, including portfolio comparisons and investment illustrations Lead or contribute to initiatives that improve reporting efficiency, automation, and analytics capabilities (e.g., SQL, Power BI, Power Automate, generative AI tools) Ensure accuracy and integrity of portfolio, benchmark, performance, and attribution data across all outputs

Qualifications

: Bachelor’s degree in Finance, Economics, Mathematics, Accounting, or a related field. 3–5 years of experience in fixed income analytics, portfolio analysis, or investment performance within asset management or financial services. Strong knowledge of fixed income concepts including yield curves, duration, convexity, spreads, credit, sector allocation, attribution.

Proficiency with Bloomberg PORT Enterprise including experience with BQL and BQuant. Advanced Excel skills (formulas, pivot tables, data modeling, charting). Ability to analyze and clearly communicate attribution results to both technical and non-technical audiences.

Strong analytical, problem-solving, and organizational skills; able to manage multiple deadlines in a fast-paced environment. Collaborative team player with experience working across investment, marketing, compliance, and client service teams. CFA charterholder or progress towards designation preferred.

Experience with Python, VBA, SQL, Power BI, Power Automate, or similar tools preferred. Familiarity with generative AI tools for analytics or workflow enhancement. This role is based in our Boston office on a hybrid schedule - 4 days per week in-office, 1 day per week remote.

The actual base salary is dependent on several variables including but not limited to education, experience, skills, and geography. In addition, GW K employees may be eligible for a discretionary bonus and/or commission, which is based on a number of factors, including individual and firm performance. Base Salary Range $90,000-$130,000 USD About GW K GW K is a growing and dynamic investment management firm that is always looking for talented, hard-working, team-oriented individuals.

We are interested in people that fit GW K’s unique and highly collaborative culture. The people who work at GW K are the backbone of our firm. Everything we do from our mission to help our clients achieve their investment objectives, to building and sustaining a diverse, equitable, and inclusive culture is achieved because of the dedicated, talented, collaborative people who work here.

Benefits

that are designed to meet the long-term needs of our employees and their families.

Compensation

packages, we offer health and dent