Financial Tech Business Analyst

Sorry, this job was removed at 10:47 p.m. (UTC) on Thursday, Jul 30, 2026
New York, NY, USA
In-Office
60K-65K Hourly
Senior level
Consulting
The Role
Lead end-to-end business analysis for complex, data-intensive fintech initiatives. Define scope and functional requirements, build prototypes and analytical models, apply GenAI to documentation and code for impact analysis, collaborate with engineering and data providers, manage QA and validation, and promote responsible GenAI adoption across BA/PM workflows.
Summary Generated by Built In

What You’ll Do

• Lead end to end business analysis efforts for complex, data intensive technology initiatives
• Partner with business stakeholders to define scope, objectives, and detailed functional requirements
• Build trusted relationships with clients and senior stakeholders; manage expectations and delivery outcomes
• Develop prototypes, analytical models, and proof of concepts to support business decision making
• Translate business needs into clear functional requirements, user stories, acceptance criteria, process flows, and use cases
• Apply AI-assisted analysis to code repositories, Jira/Confluence content, test evidence, and business documentation to identify impacts, gaps, dependencies, and traceability, with appropriate human review and governance controls
• Collaborate with internal and external data providers to ensure surveillance and model requirements are met
• Work closely with engineering teams to support solution design and technical specifications
• Lead and manage QA activities, including automated test case creation, planning and execution
• Perform independent validation with a strong focus on client outcomes, controls, and regulatory considerations
• Support ongoing enhancements, user feedback, and issue investigation
• Promote responsible GenAI adoption across BA/PM workflows by sharing reusable prompts, patterns, accelerators, and lessons learned with the broader team

What We’re Looking For

Required Qualifications

• 5+ years of total experience combining Business Analysis, Project Management, and hands-on software delivery experience within financial services or financial technology.

• Strong data analysis skills, including hands-on experience with SQL

• Excellent written and verbal communication skills, with the ability to engage senior stakeholders

• The candidate should be capable of understanding and solving highly complex problems, have excellent communication skills and have financial services experience, preferably in the areas of investment banking and trading
• Solid understanding of Capital Markets, preferably in Sales & Trading or Investment Banking
• Experience working with trade data, position data, and reference data
• Knowledge of SDLC methodologies, including Agile and Waterfall
• Experience delivering medium to large scale technology or data programs
• Practical experience using GenAI tools in BA/PM workflows, including requirements drafting, Jira story creation, acceptance criteria generation, meeting summarization, documentation review, impact analysis, test case generation, and stakeholder-ready reporting
 

Preferred Qualifications

• Experience in Trade Surveillance or market abuse monitoring
• Experience using GenAI tools such as GitHub Copilot, Rovo, Claude, Microsoft 365 Copilot, Copilot Studio, Jira/Confluence AI capabilities, or similar platforms to analyze technical documentation, code repositories, Jira delivery hierarchies, Confluence knowledge bases, meeting notes, and test evidence to produce actionable BA/PM insights
• Experience creating reusable prompts, lightweight agents, or AI-assisted workflows that improve requirements quality, delivery governance, QA efficiency, or executive reporting
• Background working in highly regulated, risk focused environments

Rate -$60-$65

Skills Required

  • 5+ years combining Business Analysis, Project Management, and hands-on software delivery within financial services or fintech
  • Strong data analysis skills, including hands-on experience with SQL
  • Excellent written and verbal communication skills with ability to engage senior stakeholders
  • Financial services experience, preferably investment banking and trading
  • Solid understanding of Capital Markets (preferably Sales & Trading or Investment Banking)
  • Experience working with trade data, position data, and reference data
  • Knowledge of SDLC methodologies, including Agile and Waterfall
  • Experience delivering medium to large scale technology or data programs
  • Practical experience using GenAI tools in BA/PM workflows for requirements, stories, impact analysis, and test case generation
  • Experience in Trade Surveillance or market abuse monitoring
  • Experience using GenAI tools such as GitHub Copilot, Rovo, Claude, Microsoft 365 Copilot, Copilot Studio, or Jira/Confluence AI capabilities
  • Experience creating reusable prompts, lightweight agents, or AI-assisted workflows to improve BA/PM quality and governance
  • Background working in highly regulated, risk focused environments

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