Control Manager - Senior Associate

Job Description:

As a Control Manager – Strategic Testing (Associate) in the Client Onboarding & Documentation (CO&D), you will drive the global Client Onboarding & Documentation Controls agenda, focusing on risk identification, monitoring, and compliance. 

You will support the end-to-end CO&D organization across WKO and DDS Operations, providing management with insights to understand and monitor key operational risks and regulatory concerns. You will collaborate with global teams, including DDS and WKO Operations, Control Managers, Compliance, Technology, Product and Audit ensuring alignment with firmwide standards. 

Job Responsibilities:

• Develop a deep understanding of Client Onboarding & Documentation, DDS, WKO operations, and associated control policies, procedures, and systems.
• Conduct proactive process reviews to identify and address emerging risks in collaboration with CO&D controls functions.
• Perform root cause analysis and partner with Operations, Controls, and Action Plan owners to implement corrective actions and best practices.
• Synthesize complex information into clear, concise messages for key stakeholders and management, escalating issues as needed.
• Provide strategic advice on key risks and control appropriateness, ensuring timely identification and resolution of significant risks and issues.
• Ensure controls are well-designed, effective, and foster a proactive risk and control culture through robust evaluation strategies and change management.
• Uphold CORE Standards, Risk Assessment Structures, and program deliverables to maintain high operational standards.
• Partner with colleagues across business, operations, legal, compliance, risk, audit, and technology control functions to deliver consistent operational risk practices.
• Ensure all issues identified during engagements are thoroughly reviewed and addressed, resolving root causes in partnership with relevant stakeholders.
• Embrace and leverage emerging IA/AI technologies (e.g., Alteryx, GenAI/LLM) to support the controls agenda for efficient and proactive risk management.
• Demonstrate the ability to deliver high-quality results under tight deadlines in a dynamic and evolving environment.

Required Qualifications, Capabilities and Skills:

• Minimum of 8 years of experience in Controls, Risk Management, Compliance, or related fields.
• Bachelor’s degree or equivalent experience required.
• Solid understanding of AML/KYC processes, operational risk management concepts, and the impact of policy or procedural changes.
• Ability to thrive in a fast-paced environment with evolving regulatory and business requirements, demonstrating adaptability and resilience.
• Strong organizational, time management, and planning skills; able to manage multiple assignments and shifting priorities simultaneously.
• Effective communication and interpersonal skills to collaborate across teams, regions, and senior stakeholders.
• Experience supporting end-to-end process reviews, risk assessments, control enhancement initiatives, and exam management or audit activities within financial services.
• Proactive problem-solving and attention to detail, with a results-oriented mindset.
• Skilled at analyzing documentation and complex data to deliver concise summaries and actionable insights.
• Comfortable working with databases, data analysis tools, and dashboards (e.g., Alteryx, Pega, Tableau); strong proficiency in programming skills such as Python.
• Familiarity with ETL tools like Alteryx and applied AI, including Gen AI and Agentic AI, to automate processes, transform data, and enhance risk management and controls.

Preferred Qualifications, Capabilities and Skills:

• Master’s degree or a background in Computer Science a plus
• Advanced proficiency in data science and developing analytical scripts utilizing Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Keras).
• Advanced experience in pattern recognition, predictive modeling, and statistical analysis.
• Experience with linear and non-linear regression, logistic regression, classification techniques, clustering, dimensionality reduction, k-NN, and pipeline development.
• Experience consuming APIs and integrating data sources.