Client Onboarding & Documentation - Controls Associate

Build a stronger, smarter control environment in a fast-changing, technology-driven business. You’ll use analytics and responsible artificial intelligence to reduce manual effort, strengthen controls, and improve outcomes. We’ll give you visibility across leaders and teams so you can influence real change beyond your day-to-day. Join us to help modernize how controls work—more measurable, more automated, and more effective. As an Operations Control Management Senior Associate within the Client Onboarding and Documentation Controls team, you will drive the controls agenda by identifying, assessing, and monitoring key risks while ensuring adherence to operational policies, control standards, and legal and regulatory requirements. You will evaluate and enhance the control framework for artificial intelligence use cases across the organization. You will lead data-driven control reviews, perform proactive assessments, and deliver clear, actionable recommendations that strengthen the overall control environment. You will work in a collaborative culture that values partnership, thoughtful challenge, and measurable impact. You will be part of a cross-business program modernizing the client onboarding and documentation experience through a more consistent, standardized approach. Your work will help embed governance and best practices for using artificial intelligence in day-to-day activities. You will also help teams adopt smarter testing methods and more automated controls, improving both efficiency and risk coverage. This is an opportunity to build expertise at the intersection of controls, analytics, and responsible technology. Job responsibilities Lead control reviews using analytics and data-driven testing to strengthen the control environment and improve operational efficiency Perform proactive monitoring and testing to identify emerging risks and support timely issue identification and resolution Maintain awareness of evolving AML/KYC risks, holistic operational risks, including AI risks, regulatory expectations, and industry best practices, and incorporate them into the controls agenda Conduct root-cause analysis for control issues, including issues driven by Technology including artificial intelligence-related issues, and partner on corrective actions and sustainable remediation Automate control testing where appropriate to reduce manual effort and improve consistency and traceability Execute risk and control assessments for artificial intelligence solutions, covering model design, data quality, bias and fairness, explainability, security, accuracy, and potential failure modes Partner with stakeholders across compliance, legal, audit, data, oversight, and onboarding teams to implement governance frameworks, policies, and control standards Influence and drive control improvements across teams beyond direct reporting lines in a dynamic, deadline-driven environment Required qualifications, capabilities, and skills 6 years of experience in operational risk, controls, audit, compliance testing, or operations risk management (financial services or similarly regulated environment) Knowledge of client onboarding processes, including Anti-Money Laundering and Know Your Customer expectations Demonstrated experience leading control assessments or reviews, including scoping, testing, documenting results, and recommending improvements Experience performing data-driven testing or analytics to evaluate process performance and control effectiveness Proven ability to perform root-cause analysis and drive remediation with accountable owners and timelines Strong written and verbal communication skills, including the ability to produce clear, actionable control documentation for varied stakeholders Strong organizational skills with the ability to manage multiple priorities and deliver to deadlines Preferred qualifications, capabilities, and skills Experience evaluating and applying artificial intelligence and machine learning solutions (including generative artificial intelligence, large language models, or agent-based systems) in a risk, controls, or governance context Experience building automated testing routines or repeatable analytics for controls monitoring Proficiency with common analytics and reporting tools (for example, SQL, Python, or Power BI) Experience partnering with technology teams on control design, technology risk, or control-by-design approaches Experience preparing materials for audits, regulatory examinations, or senior management control forums