Business Analyst

Business Analyst

Our client is a well-funded financial technology firm backed by leading institutional venture capital, including Electric Capital and Paradigm. The organization is rebuilding the core infrastructure that underpins the global financial system by merging traditional institutional finance expertise with advanced blockchain technology to create a faster, safer, and fully on-chain ecosystem.

As a Business Analyst, the successful candidate will play a pivotal role in translating the intricate workflows of institutional loan markets into innovative, scalable software products. This position is ideal for a structured, detail-obsessed builder who excels at transforming ambiguous financial processes into highly executable development plans.

This is a hybrid position requiring three days per week onsite in New York City and is not eligible for fully remote work.

Key responsibilities include:

• Requirements Architecture: Synthesize complex, ambiguous, and sometimes conflicting inputs from clients and subject matter experts into highly granular, testable functional specifications and clear acceptance criteria.
• Specification Ownership: Author comprehensive functional design documents tailored to support both engineering execution (development and testing) and long-term, reusable product documentation.
• Quality Assurance & UAT Leadership: Establish robust testing frameworks, translate product use cases into formal test plans, execute comprehensive feature and integration-level testing, and manage defect triage directly with engineering to ensure product readiness for User Acceptance Testing (UAT).
• Interface Collaboration: Partner with product design teams to develop wireframes and mockups, ensuring engineering teams have exact visual and behavioral guidance for user interfaces.
• Client Engagement & Support: Participate in institutional client workshops and support calls, effectively communicating in the client's domain language, triaging incoming support requests, and translating field feedback into product iterations.
• AI-Driven Workflow Optimization: Utilize AI productivity tools to accelerate the generation of specifications, documentation, and test cases, applying sharp editorial judgment to ensure high-quality and trustworthy outputs.