Client Onboarding and Documentation Control Management - Associate

Help shape how a global organization manages risk in a rapidly evolving, technology-driven environment. You will use analytics and responsible artificial intelligence to strengthen controls, reduce manual effort, and improve outcomes. Partner with leaders across the business and influence change beyond your immediate team. Join us to build a modern control program that supports innovation, accountability, and continuous improvement. As a Client onboarding and documentation control management associate in Operations Control Management, you will identify, assess, and monitor key operational risks while helping teams strengthen controls and meet legal and regulatory expectations. You will evaluate and enhance governance for artificial intelligence use cases, lead data-driven control reviews, and deliver clear recommendations that improve control design, testing coverage, and efficiency. You will work across stakeholders to support a consistent, standardized onboarding and documentation experience. 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 Analyze root causes for control issues, including technology-driven and 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, including model design, data quality, bias and fairness, security, accuracy, and potential failure modes Partner with stakeholders across compliance, legal, audit, data, oversight, and onboarding teams to support governance frameworks, policies, and control standards Monitor evolving Anti-Money Laundering and Know Your Customer expectations, operational risk themes (including artificial intelligence risks), and industry practices to inform the controls agenda Influence and drive control improvements across teams beyond direct reporting lines in a dynamic, deadline-driven environment Required qualifications, capabilities and skills Bachelor’s degree Minimum 6 years of experience in financial services Knowledge of client onboarding and documentation processes, including Anti-Money Laundering and Know Your Customer expectations Ability to communicate clearly in writing and verbally, including presenting control testing results and recommendations to stakeholders Ability to manage priorities and deliver high-quality results under tight deadlines in a fast-moving environment Preferred qualifications, capabilities and skills Experience performing control testing, monitoring, or risk assessments within an operational, compliance, audit, or risk environment Experience performing data-driven testing and end-to-end control reviews, including documenting control enhancement recommendations Experience evaluating or supporting artificial intelligence or machine learning solutions (including generative AI, large language models, or agent-based systems) in a risk, controls, or governance context Understanding of the machine learning lifecycle (training, validation, deployment) and key model risk topics such as data quality, bias and fairness, explainability, and monitoring Proficiency in Python for analytics, automation, and control testing Experience with analytics and workflow automation tools (for example, Alteryx or similar) to streamline testing and evidence collection Experience partnering across functions to implement governance frameworks and operational control standards