Research Analyst

Neuberger Berman•New York, NY

7d•$115,000 - $140,000•Hybrid

About The Position

We are seeking a highly motivated and proactive Research Analyst to join the Municipal Fixed Income team in New York. Our goal is to deepen our research capabilities through both fundamental credit analysis and the thoughtful use of technology and data tools. The role will work closely with Research Analysts and Portfolio Managers to generate investment ideas across tax-exempt and taxable municipal bond portfolios. The ideal candidate brings strong analytical skills along with an interest in applying emerging AI and data tools to enhance research efficiency and investment insights.

Requirements

2-4 years of research experience preferred.
Experience or demonstrated interest in the municipal bond market.
Bachelor’s degree required; Master’s degree preferred with a strong academic record.
Proficient written and verbal communication skills sufficient to share ideas and influence portfolio outcomes.
Familiarity with AI tools, data platforms, or automation tools that can enhance research efficiency and idea generation.
Interest in applying emerging technologies to improve how data is gathered, organized, and analyzed across sectors.
Candidate must be hard-working and proactive who enjoys working in a fast-paced trading desk environment, with the ability to independently evaluate investment ideas within covered sectors.
Relationship skills to work successfully within the Municipal Fixed Income department and to work cooperatively across the Neuberger Berman organization.
Series 7 & 66 within 6 months of joining.

Responsibilities

Proactively research, identify and implement investment ideas across coverage sectors.
Evaluate and integrate sector trends into actionable investment recommendations.
Maintain a high quality and consistent work product with respect to financial modeling, analysis of credit/ sector trends, written credit reports and credit review presentations to Portfolio Managers.
Utilize data analysis tools and emerging AI applications to improve the efficiency, depth, and consistency of credit research.
Identify ways to automate routine workflows, organize large data sets, and enhance monitoring of credit trends across sectors.
Apply technology tools to support idea generation, scenario analysis, and surveillance of portfolio risks.
Establish and maintain industry relationships within covered sectors.