Business Analyst/Corporate Credit/Fixed Income/CLO

Position: Business Analyst/Corporate Credit/Fixed Income/CLO Location: Hybrid/ NYC or Dallas, TX ***Hybrid***Contract: 1-2 YearsJob DescriptionThe client is building a new Corporate Credit Technology team from the ground up. This group will work directly with public and private credit asset managers, portfolio managers, CLO traders, loan traders, and asset-backed security (ABS) traders to develop next-generation investment tools and solutions.We're looking for a junior-to-mid-level Business Analyst who thrives in the weeds - someone who can attend client-facing meetings solo, translate complex financial workflows into actionable requirements, and get hands-on with market data. This is not a people-management role; it's a high-impact individual contributor position on a team being built from scratch.What You'll DoPartner directly with CLO traders, loan traders, and ABS traders to understand their pain points and build solutions around themWrite clear business and data requirements for front office technology initiativesValidate market data against portfolio manager requests, ensuring accuracy across sources like Bloomberg (API and plug-in), S&P, Moody's, and FitchWork closely with the OMS/Charles River team to support day-to-day operations and new developmentHelp oversee and improve trading platform and investment workflow toolsLeverage AI tools to solve problems and improve efficiency - this is actively encouragedSupport the transition of private financials to AI-powered tooling that reduces administrative burden on portfolio managersCollaborate with a market data team being built in parallelWhat We're Looking ForBackground & Experience10+ years of experience as a Business Analyst in financial services, ideally at a credit-focused firm (asset management, credit hedge fund, private credit, or similar)Experience at large-scale alternatives firms (Apollo, Blackstone, KKR, Ares, etc.) or smaller, hands-on shops is valued equally - what matters is depth of exposureFamiliarity with the credit lifecycle across both public and private marketsOMS experience (Charles River preferred, but comparable systems considered)Technical SkillsComfortable working with large datasets and multiple market data sourcesHands-on experience with Bloomberg (API or plug-in), S&P, Moody's, or Fitch dataSolid SQL skills; Python is a plus but not requiredUnderstanding of data lineage, data structures, and how to validate data accuracyTrack record of applying AI tools to real work problems (not just updating a resume)Soft SkillsStrong business acumen - can walk into a meeting with traders and PMs and hold their ownCreative problem-solver who thinks on their feetDetail-oriented with a genuine understanding that data accuracy is non-negotiable in a compliance-sensitive environmentCollaborative and self-directed; comfortable operating in a build-it-as-you-go environmentNice to HaveExperience with Charles River's private markets module (Mercado heritage)Knowledge of CLO structures, loan trading, or ABSFamiliarity with Intex or other specialized ABS data vendorsExperience at a firm that has implemented or is actively using AI for front office workflowsWhat We're Not Looking ForVP-level candidates focused on strategy and team management - this role is hands-onPure Python/data engineering backgrounds without business-facing experienceCandidates requiring new H-1B sponsorship (H-1B transfers considered)