Technical Business Analyst- AI

Technical Business Analyst AI-Driven Trading Compliance

Philadelphia, PA | On-Site

Build AI-powered surveillance that keeps high-speed trading honest

You ll be the bridge between cutting-edge AI and real-world trading compliance, turning complex ideas into tools that actually get used on the trading floor.

This team designs and builds same-day surveillance, monitoring, and reporting tools that watch options, equities, futures, fixed income and more then layers in modern AI/LLM capabilities to surface what really matters.

Think intelligent alerting. Natural-language querying of compliance data. Automated narrative generation. Advanced anomaly investigation powered by models like Claude.

If you live at the intersection of trading, data, and AI and you can turn requirements into working systems we want to talk to you.

What You'll Work On

You ll sit with developers, testers, and compliance users to shape the next generation of trading oversight tools.

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• Surveillance and monitoring systems for multi-asset trading activity
  
• Same-day alerting and oversight tools for compliance teams
  
• AI/LLM-enhanced workflows for detection, analysis, and decision support
  
• Natural-language interfaces over complex compliance and trading data
  
• Automated narrative and reporting capabilities using LLMs
  
• Data-collection systems spanning numerous trading platforms
  
• User-facing tools for exploring, querying, and interacting with trade data
  
• Prompt-driven, AI-assisted interfaces and LLM-powered reporting
  

You ll work across relational databases, Big Data tools, and AI/LLM services including large language models such as Claude to bring these systems to life.

Your core challenge: make sophisticated AI and data infrastructure feel simple, reliable, and trustworthy to compliance users who can t afford to miss a signal.

What You'll Be Doing

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• Partnering with compliance and trading stakeholders to elicit, refine, and document requirements, including AI/LLM use cases
  
• Designing and validating prompt strategies and model-integration approaches for surveillance and monitoring tools
  
• Organizing and facilitating the development and implementation of SDLC projects end to end
  
• Managing and prioritizing the backlog, coordinating deployment, and navigating a large-scale production environment
  
• Translating business needs into clear, actionable specs for developers, testers, and data teams
  
• Evaluating LLM outputs, tuning prompts, and helping optimize AI-assisted features
  
• Writing and reviewing SQL queries to support analysis, validation, and reporting
  
• Taking a holistic view across hardware, networking, middleware, software, and AI/LLM services to ensure systems integrate cleanly
  
• Assisting with functional and user-acceptance testing when needed
  
• Communicating project status, risks, and decisions clearly to all levels of staff and management
  
• Applying agile and/or waterfall methodologies to keep projects on track and transparent
  
• Using project tracking systems (such as Jira) to drive accountability and visibility
  

What We're Looking For

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• Minimum of 5 years in a Business Analysis role in an IT environment managing SDLC projects
  
• Bachelor s degree in a technical or related discipline
  
• Strong knowledge of relational databases (Oracle, SQL, MySQL) and ability to write SQL queries
  
• Understanding of Big Data tools including Hive and Hadoop
  
• Experience with or exposure to large language models (LLMs), ideally including Claude, and related use cases
  
• Excellent written and verbal communication plus strong organizational skills
  
• Proven planning, estimation, and risk management capabilities
  
• Experience with agile and/or waterfall software development methodologies
  
• Hands-on experience with project tracking systems; Jira experience preferred
  
• Background in trading firms or financial institutions, scripting (Python preferred), or BI tools (such as QlikView) is a plus
  

The Experience That Will Really Get Our Attention

You ve already helped ship AI- or data-intensive products in a trading or financial environment, and you know how