Job Description

Join Client Onboarding & Documentation Operations Control Management and help build a resilient, AI-ready control environment. Lead data-driven reviews and AI risk assessments that protect the firm and clients while enabling responsible innovation. Grow your career in a collaborative culture that values partnership, thoughtful challenge, and measurable impact.

As a Client Onboarding and Documentation Operations Control Management Associate, you drive the controls agenda by identifying, assessing, and monitoring key risks while ensuring adherence to policies, control standards, and legal/regulatory requirements. You evaluate and enhance the control framework for AI use cases, lead data-driven control reviews, and perform proactive assessments. You deliver clear, actionable recommendations and partner across functions to strengthen the overall control environment.

Job Responsibilities

• Lead control reviews using analytics and data-driven testing to strengthen the control environment and improve efficiency.
• Perform proactive monitoring and testing to identify emerging risks and support timely issue resolution.
• Conduct root-cause analysis for control issues, including technology and AI-related issues.
• Partner on corrective actions and sustainable remediation with clear ownership and timelines.
• Automate control testing where appropriate to reduce manual effort and improve consistency and traceability.
• Execute risk and control assessments for AI solutions covering design, data quality, bias, and explainability.
• Assess AI security, accuracy, and potential failure modes to inform mitigation and monitoring.
• Partner with compliance, legal, audit, data, oversight, and onboarding teams to implement governance frameworks.
• Implement policies and control standards aligned to firmwide expectations and regulatory requirements.
• Incorporate evolving AML/KYC and AI risks, regulatory expectations, and best practices into the controls agenda.
• Influence and drive control improvements across teams beyond direct reporting lines.

Required Qualifications, Capabilities, and Skills

• Demonstrate experience in controls, operational risk, audit, compliance, or related functions.
• Apply data-driven testing and analytics to strengthen control reviews and outcomes.
• Execute risk and control assessments for AI use cases, including bias, explainability, and failure modes.
• Conduct root-cause analysis and drive sustainable remediation with cross-functional partners.
• Communicate clearly and deliver actionable recommendations to diverse stakeholders.
• Partner effectively across compliance, legal, audit, data, oversight, and onboarding teams.
• Operate effectively in a dynamic, deadline-driven environment with strong control discipline.

Preferred Qualifications, Capabilities, and Skills

• Leverage knowledge of AML/KYC processes and evolving regulatory expectations.
• Automate control testing to improve efficiency, consistency, and traceability.
• Apply understanding of AI/ML governance, model risk, and responsible AI principles.
• Strengthen monitoring by designing proactive tests and meaningful risk indicators.
• Influence stakeholders beyond direct reporting lines to drive control improvements.
• Utilize analytics tools to support scalable, repeatable control assessments.
• Incorporate industry best practices to continuously enhance the controls agenda.