Sr Business Analyst

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks a Sr Business Analyst to analyze and validate automated surveillance systems across multiple asset classes and regulatory domains. The role bridges regulatory requirements and technical implementation, produces defensible results, and leverages generative AI to accelerate analysis, documentation, testing, and automation in a regulated environment. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $80.00/hr. w2

JN -092026-108545

Responsibilities: Reverse-engineer surveillance pattern source code and document data pipelines, business rules, exception logic, and output schemas. Maintain a knowledge base of surveillance patterns across regulatory domains. Conduct requirements-versus-code gap analysis to identify coverage risks. Validate new releases by comparing production and UAT outputs and analyzing impacts. Build local testing environments and execute queries against sample data. Design multi-scenario and edge-case test cases for comprehensive coverage. Package release artifacts including scripts, QC results, and requirements documentation. Write complex queries to support investigations into surveillance exceptions. Perform firm-level statistical analysis and produce management reports. Maintain reference data sets used by downstream patterns. Assess data incident impacts using the surveillance pattern dependency map. Develop automation tools for ticket management, release documentation, and workflows. Create testing frameworks and interactive visualization and comparison reports. Leverage AI assistants to generate documentation, test frameworks, and data reports, and validate AI outputs for regulatory accuracy. Design structured AI workflows and maintain curated AI project workspaces. Manage work across project boards, track enhancements and fixes, and coordinate releases and UAT sign-off. Draft and update Business Requirements Documents for pattern enhancements. Participate in special projects, mentor analysts, track industry and regulatory trends, and champion AI-assisted workflows. Experience Requirements: Bachelor's degree and 5+ years in financial regulatory technology, surveillance systems, or capital markets data analysis. Proficiency in SQL for large-scale analysis on distributed platforms. Proficiency in at least one scripting or programming language for analysis and automation. Experience interpreting complex data processing pipelines and business logic in source code. Strong analytical skills to investigate data discrepancies and validate outputs. Excellent documentation skills to translate technical implementations into clear business documents. Advanced proficiency with spreadsheet tools for business and operational analysis. Preferred: Major in Business, Finance, Computer Science, or related; advanced degree preferred. Preferred: Knowledge of SEC/FINRA rules and reporting requirements. Preferred: Experience with distributed query engines and big data platforms. Preferred: Experience with project management and documentation tools and their APIs. Preferred: Familiarity with surveillance pattern architectures. Preferred: Experience with source code management and release workflows. Preferred: Experience using generative AI tools to accelerate analysis, comprehension, documentation, and automation. Preferred: Ability to design effective AI prompts and structured contexts for reliable outputs in regulated environments. #J-18808-Ljbffr Eliassen Group