Risk Control Tester

Job Summary

Our client is seeking a Risk Control Tester to join the Operation Risk Management (ORM) team working to test ORM and Anti-Money Laundering (AML) controls. This role is pivotal in our AI transformation strategy. You will not only execute risk testing but will act as a primary driver in integrating Gemini AI to automate manual workflows. The role will require someone who is an effective communicator and able to partner with others to understand the controls, share the feedback, and close any gaps in the process.

The ideal candidate will bridge the gap between risk rigor and AI operationalization, ensuring that we achieve efficiency gains without compromising auditability or accuracy.

• Lead the assessment and implementation of Gemini AI solutions across our control inventory.
• Responsible for defining, testing, and refining prompts to automate data extraction, reconciliation, and control testing workflows.
• Leverage advanced Gemini features to synthesize data across multiple disparate documents and files, reducing reliance on manual copy‑paste workflows.
• Establish “human‑in‑the‑loop” validation processes.
• Critically review AI‑generated outputs for accuracy, identify false positives or hallucinations, and refine testing methodologies to ensure defendable, audit‑ready outcomes.
• Develop and maintain operational workarounds to bridge data gaps where direct connectivity is limited to ensure comprehensive test coverage.
• Maintain rigorous documentation standards.
• Ensure that all AI‑assisted test results are fully transparent, reproducible, and compliant with corporate standards, addressing current gaps in sourcing and audit trail documentation.
• Partner with control owners to socialize findings, update testing plans, and track recommendations.
• Identify gaps in the process or when the control was not executed appropriately.

• 1+ year experience in demonstrable experience in prompt engineering and operationalizing Generative AI within a business environment.
• Experience with Google Workspace “Projects” and data synthesis across multiple files.
• Ability to maintain a “trust but verify” mindset regarding AI outputs.
• Experience in identifying errors, outliers, and data inconsistencies.

• 1+ year of experience in Risk Management, Anti-Money Laundering (AML), Quality Assurance, or Process Management.

• Self‑starter with curiosity and initiative.
• Strong relationship‑building and communication skills.
• Comfortable presenting to leadership and navigating challenging stakeholder dynamics.

Location:

Richmond, VA. Hybrid, three days per week.

• Pay Range:
  Approximately $37.00 to $43.00 per hour (good faith estimate; final compensation may vary).
• Medical, Dental & Vision Insurance Plans.
• Employee‑Owned Profit Sharing (ESOP).
• 401(k) offered.