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"Business Analyst / Product Manager (Wholesale Lending & Securitization)"
Tcs Usa
1 day ago
Full-time
On-site
Jersey City, New Jersey, United States
$110,000 - $135,000 USD yearly
Must Have Technical/Functional Skills
- 8β10 years of Business Analysis/Product Management experience supporting complex technology initiatives.
- Strong experience in Wholesale/Commercial Lending, preferably whole-loan financing, securitization, asset-based lending, or related deal-management workflows.
- Strong understanding of deal and pipeline workflows and interaction between Front Office, Operations, Risk, and Technology.
- Hands-on experience producing BRDs, functional specifications, workflows, data requirements, and traceable requirements.
- Experience supporting UI/front-office application requirements, translating business workflows into functional capabilities.
- Strong solution-thinking skills with the ability to challenge requirements and propose scalable, reusable solutions rather than simply documenting requested functionality.
- Working knowledge of SQL for data analysis, validation, and reconciliation.
- Strong stakeholder management and communication skills.
Roles & Responsibilities
- Partner with Front Office, Operations, and Technology to understand wholesale lending deal and pipeline workflows, define business problems, and translate them into scalable technology solutions.
- Own detailed requirements and artifacts including BRDs, functional specifications, workflows, and data requirements across the lending lifecycle.
- Contribute to product roadmap, prioritization, governance, and automation initiatives within Global Spread Products (GSP) Technology.
- Evaluate needs across lending businesses and propose reusable, cross-business platform capabilities rather than bespoke solutions where appropriate.
- Drive stakeholder alignment across competing priorities, resolving conflicts and escalating key decisions where required.
- Coordinate end-to-end delivery including requirements validation, QA transition, UAT, implementation, and stakeholder communication.
- Apply a strong data-quality, risk, and control mindset, identifying issues and validating requirements early in the delivery lifecycle.
- Ensure front-office solutions and data flows integrate effectively with enterprise risk and centralized loan-servicing platforms.
- Support technology capabilities across whole-loan financing, securitization, commercial real estate, residential mortgages, and asset-backed lending workflows.