Vista previa de la oferta
Control Manager Associate
Risk & Compliance
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.