Source description
About the role
Title: Business Systems Analyst
Location: Newark, NJ hybrid Locals only
Duration: 12 months
Visa: USC, GC
Senior Business Systems Analyst with 10+ years in Fixed Income asset management, strong in credit research workflows, SQL, AWS, Python, and Agile methodologies.
Your Role
We are seeking a highly analytical and technically savvy Senior Business Analyst [Consultant] to join our Credit Research Technology team. You will be embedded within a dynamic group focused on building innovative research and investment tools used by credit analysts and portfolio managers. Working closely with product owners, developers, and investment professionals, you will play a pivotal role in shaping solutions that drive smarter investment decisions across our fixed income portfolios.
Your Impact
As a Senior Business Analyst [Consultant], you will:
• Lead the definition and delivery of business and system requirements to support credit research, model-driven analysis, and portfolio management tools.
• Serve as a key liaison between credit analysts, portfolio managers, and technology teams to ensure business needs are translated into scalable, high-performance technical solutions.
• Drive end-to-end documentation and stakeholder alignment across agile delivery cycles.
• Help shape the data strategy for credit research by integrating credit model data, issuer fundamentals, ESG inputs, and alternative datasets into the research ecosystem.
• Influence the firm's digital transformation initiatives through delivery excellence and thought leadership
Your Required Skills
• 10+ years of experience in Business Analysis at a buy-side Fixed Income asset management firm.
• Deep understanding of credit research workflows, with proven experience working alongside credit analysts and portfolio managers.
• Exceptional analytical and problem-solving skills with the ability to interpret complex data and investment processes.
• Proficiency in:
o SQL – for data validation and exploration.
o AWS – particularly data services (e.g., S3, Redshift, Lambda).
o Python – for prototyping analytical tools and performing data analysis.
• Strong command of business analysis practices, including:
o Agile methodologies
o Use case and workflow documentation
o Data mapping and transformation
o Acceptance criteria and test planning
• Excellent communication skills – capable of clearly translating technical issues into business context and vice versa.
Your Desired Skills
• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related discipline.
• CFA Certification or progress toward completion.
• Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Exposure to machine learning or AI frameworks in financial modeling is a plus.
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