Lead Financial BA

Description

Hybrid 3 days onsite / 2 days remote in Rockville, MD

Our client seeks a Lead Business Analyst to analyze and enhance automated surveillance systems that detect potential violations of regulatory rules across multiple asset classes. The analyst will validate and optimize surveillance logic, reconcile data outputs, and translate complex technical implementations into clear business documentation. The role will bridge regulatory requirements and technical solutions, leverage generative AI tools to accelerate analysis and documentation, and support production workflows to ensure accurate and defensible surveillance outcomes.

Due to client requirements, applicants must be willing and able to work on a w2 basis. 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: $70.00 to $75.00/hr. w2

• Conduct moderate-to-high complexity analysis of automated surveillance systems for regulatory rule detection.
• Understand, validate, and enhance surveillance patterns across asset classes and regulatory domains.
• Investigate data discrepancies, validate system outputs, and document findings clearly.
• Interpret complex data processing pipelines and business logic in source code.
• Translate technical implementations into business-facing documentation and BRDs.
• Leverage generative AI tools for analysis acceleration, code comprehension, documentation, and workflow automation.
• Partner with stakeholders to ensure surveillance logic accuracy, completeness, and defensibility.
• Support UAT and production change management as needed.

• Bachelor's degree and 5+ years in financial regulatory technology, surveillance systems, or capital markets data analysis.
• Proficiency in SQL for large-scale data analysis on distributed platforms.
• Proficiency in Python or a similar scripting language for data analysis and automation.
• Strong analytical skills with independent investigation capabilities.
• Experience reading and interpreting data pipelines and business logic in source code.
• Advanced proficiency with spreadsheets for business and operational analysis.
• Excellent documentation skills for business-facing knowledge documents and BRDs.
• Preferred:
  Background in Business Administration, Finance, Computer Science, or related field; advanced degree preferred.
• Preferred:
  Experience with project management and documentation tools, APIs, and leading UAT efforts.
• Preferred:
  Knowledge of SEC/FINRA regulatory rules and reporting requirements.
• Preferred:
  Experience with financial market data and presenting findings to diverse audiences.
• Preferred:
  Experience leveraging generative AI tools and validating AI-generated outputs.
• Preferred:
  Interest in US market structure and evolving regulatory landscape.
• Preferred:
  Experience reverse-engineering surveillance pattern source code and familiarity with surveillance pattern architectures.
• Preferred:
  Experience with distributed query engines, big data platforms, and source code management workflows.

Bachelor's degree required. Advanced degree preferred.