AI Controls Manager Associate

Join Operations Control Management and help scale a best-in-class Client Onboarding & Documentation experience with strong compliance and ethics. Build hands-on analytics, automation, and AI solutions that strengthen controls across WKO and DDS globally. Grow your career by delivering measurable risk reduction, smarter monitoring, and executive-ready insights.

As a Data & AI Control Manager – Associate within the Strategic Control Testing group in Operations Control Management, you design and execute strategic, data-driven control testing across Client Onboarding & Documentation, including WKO and DDS. You build automation at scale and apply AI/ML—including Generative AI—to enhance risk detection, continuous monitoring, and regulatory compliance. You partner across business, operations, and technology teams to close control gaps, reduce false positives, and deliver audit-ready evidence and reporting.

Job Responsibilities

• Lead strategic control testing engagements using analytics to surface control gaps and BAU breaks; drive sustainable remediation.
• Execute strategic testing as an individual contributor with disciplined methods and clear evidence standards.
• Build and productionize AI/ML solutions for classification, anomaly detection, risk scoring, and entity resolution.
• Apply GenAI workflows to improve evidence gathering, document understanding, and root-cause analysis.
• Automate end-to-end testing and controls using Alteryx, Power BI/Tableau, and workflow/RPA platforms.
• Operationalize proactive alerts and dashboards for KRIs and regulatory priorities across regions.
• Partner with WKO, DDS, Controls, Operations, Technology, and Data teams to gather requirements and calibrate models.
• Design explainable and auditable analytical outputs aligned to firm standards and regulatory expectations.
• Develop statistical tests and ML-based monitors for policy, legal, and regulatory compliance aligned to model risk governance.
• Build scalable data pipelines to ingest, profile, cleanse, and join datasets from systems of record.
• Translate KYC/CO&D requirements into measurable tests and data rules; tune models to reduce false positives and document assumptions.

Required Qualifications, Capabilities, and Skills

• Hold a bachelor’s or advanced degree in a quantitative field such as Computer Science, Statistics, Engineering, or Data Science.
• Bring 6+ years of experience in financial services risk management, compliance, financial crimes, operational risk, audit, or BPM with automation exposure.
• Demonstrate proficiency in Python or R for data manipulation, model development, and testing automation on large datasets.
• Apply modern ML and advanced analytics techniques including regression, classification, clustering, and dimensionality reduction.
• Integrate data sources using APIs and apply strong data engineering practices to support repeatable testing.
• Implement data governance principles including data quality controls, metadata, lineage, and secure usage standards.
• Partner effectively across business, operations, and technology to deliver measurable control outcomes with strong critical thinking.

Preferred Qualifications, Capabilities, and Skills

• Leverage experience with LLMs/GenAI, predictive modeling, and their limitations in regulated environments.
• Apply control testing knowledge including control design and root-cause analysis capability.
• Manage multiple automation initiatives concurrently across global teams and time zones.
• Communicate trends and systemic issues through high-quality executive summaries and governance updates.
• Implement monitoring for model drift, accuracy, and business KPIs with clear evaluation frameworks.
• Use explainability and auditability patterns to support regulatory and internal audit reviews.
• Strengthen efficiency and consistency by delivering reusable assets, templates, and standardized testing routines.