Fixed Income Data Operations Analyst

Job Title: Fixed Income Data Operations AnalystLocation: Baltimore, MD (Hybrid - 4 days onsite)Pay Rate: $55-$60/hr W2Duration: 12 month contract (extension/conversion possible)Benefits: Eligible for Health, Dental, Vision, 401KMust 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 workflowsGenerate and analyze portfolio risk, performance, and attribution metrics using tools like Bloomberg PORTMonitor, troubleshoot, and resolve data issues across fixed income productsServe as a primary point of contact for portfolio managers and business usersValidate and ensure accuracy of security-level analytics and risk exposuresPartner with technology and data teams to resolve discrepancies and improve processesSupport SLAs and ensure timely delivery of business-critical dataAnalyze large datasets using SQL, Excel, and/or PythonMust Haves:3-6 years of experience in fixed income operations, data, or analyticsStrong knowledge of fixed income products (bonds, derivatives, securitized products)Hands-on experience with Bloomberg PORT (Portfolio & Risk Analytics)Experience troubleshooting and managing financial data workflowsStrong communication skills with ability to support front office stakeholdersExperience working with large datasets and performing data analysisNice to Haves:Experience with tools such as Aladdin, MSCI Barra, FactSet, Refinitiv, Yield Book, or MurexSQL, Python, or advanced Excel skillsExperience in asset management or buy-side environmentsBackground in portfolio analytics, attribution, or risk modeling