Fixed Income Data Operations Analyst

Job Title: Fixed Income Data Operations Analyst
Location: Baltimore, MD (Hybrid – 4 days onsite)
Pay Rate: $55–$60/hr W2
Duration: 12 month contract (extension/conversion possible)
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Overview:
We are seeking a Fixed Income Data Operations Analyst to support a high-impact front office data team. This role focuses on fixed income analytics, portfolio data validation, and operational support across risk, attribution, and performance metrics. You will partner closely with portfolio managers, quants, and investment teams to ensure accurate and timely delivery of critical data and analytics.

Responsibilities:

• Provide day-to-day operational support for fixed income data, analytics, and reporting workflows
• Generate and analyze portfolio risk, performance, and attribution metrics using tools like Bloomberg PORT
• Monitor, troubleshoot, and resolve data issues across fixed income products
• Serve as a primary point of contact for portfolio managers and business users
• Validate and ensure accuracy of security-level analytics and risk exposures
• Partner with technology and data teams to resolve discrepancies and improve processes
• Support SLAs and ensure timely delivery of business-critical data
• Analyze large datasets using SQL, Excel, and/or Python

Must Haves:

• 3–6 years of experience in fixed income operations, data, or analytics
• Strong knowledge of fixed income products (bonds, derivatives, securitized products)
• Hands-on experience with Bloomberg PORT (Portfolio & Risk Analytics)
• Experience troubleshooting and managing financial data workflows
• Strong communication skills with ability to support front office stakeholders
• Experience working with large datasets and performing data analysis

Nice to Haves:

• Experience with tools such as Aladdin, MSCI Barra, FactSet, Refinitiv, Yield Book, or Murex
• SQL, Python, or advanced Excel skills
• Experience in asset management or buy-side environments
• Background in portfolio analytics, attribution, or risk modeling