Business Analyst

Software Guidance & Assistance, Inc. (SGA, Inc.) is seeking a Business Analyst for a contract assignment with a premier Regulatory client. The Business Analyst will conduct complex analysis of automated surveillance systems, ensuring regulatory accuracy while leveraging AI tools to enhance efficiency in documentation and analysis.

Responsibilities:

• Reverse-engineers surveillance pattern source code to build comprehensive knowledge documentation covering data pipelines, business rules, exception logic, and output schemas
• Maintains a knowledge base of surveillance patterns across multiple regulatory domains
• Performs requirements-vs-code gap analysis to identify discrepancies between documented business requirements and implemented logic, flagging risks to surveillance coverage
• Validates new surveillance pattern releases by comparing production vs. UAT outputs, analyzing exception counts, volumes, and firm-level impacts
• Builds local testing environments to execute query scripts against sample data, enabling independent verification of pattern logic before production deployment
• Designs multi-scenario test cases covering edge cases to ensure comprehensive test coverage
• Packages release artifacts (scripts, QC results, requirements documentation) following standardized release structures
• Writes complex queries to support analyst investigations into surveillance exceptions
• Performs firm-level statistical analysis and produces reports for management review
• Maintains reference data sets used by downstream surveillance patterns
• Assesses data incident impacts by cross-referencing affected data sources against the surveillance pattern dependency map
• Develops automation tools for ticket management, release documentation, and workflow optimization
• Builds local testing frameworks that replicate production environments for rapid pattern testing and iteration
• Creates data visualization and comparison reports with interactive views, summary statistics, and color-coded differentials
• Leverages AI coding assistants as a force multiplier — directing AI agents to reverse-engineer source code, build knowledge documentation, generate test frameworks, and produce data comparison reports
• Designs structured AI workflows including pattern study pipelines, workflow assistants, and automated documentation generation
• Maintains a curated AI project workspace with standing instructions, conventions, and context files that enable consistent, high-quality AI-assisted output
• Coordinates multi-step analytical tasks through AI — from reading source code and drafting requirements, to generating test harnesses and producing comparison reports — reducing turnaround from days to hours
• Evaluates and validates AI-generated outputs for regulatory accuracy before use in production workflows
• Manages work across project tracking boards, tracking enhancement tickets, bug fixes, and new pattern development
• Drafts and updates Business Requirements Documents (BRDs) for surveillance pattern enhancements
• Coordinates release activities including documentation, QC, and UAT sign-off tracking
• Participates on special projects as assigned. Serves as a mentor for less experienced analysts. Keeps management updated on notable trends in industry practices, regulatory changes, and emerging technology capabilities (including AI tooling). Champions adoption of AI-assisted workflows within the team

Requirements:

• Bachelor's degree and 5+ years of experience in financial regulatory technology, surveillance systems, or capital markets data analysis
• Proficiency in SQL for large-scale data analysis on distributed platforms
• Proficiency in at least one scripting/programming language for data analysis, automation, and tool development
• Experience reading and interpreting complex data processing pipelines and business logic in source code
• Strong analytical skills with the ability to independently investigate data discrepancies and validate system outputs
• Excellent documentation skills — ability to translate complex technical implementations into clear business-facing knowledge documents
• Advanced proficiency in spreadsheet tools for business and operational analysis
• Major in Business Administration, Finance, Computer Science, or related field; advanced degree preferred
• Knowledge of SEC/FINRA regulatory rules and reporting requirements
• Experience with distributed query engines and big data platforms
• Experience with project management and documentation tools and their APIs
• Familiarity with surveillance pattern architectures (exception generation, scoring, aggregation, reconciliation)
• Experience with source code management and release branch workflows
• Experience leveraging generative AI tools (LLMs, AI coding assistants) to accelerate data analysis, code comprehension, documentation, and automation workflows
• Ability to design effective AI prompts and structured project contexts that produce reliable, domain-accurate outputs in a regulated environment