Data & AI Control Manager Associate

Introductory Marketing Language
Join a highimpact Strategic Control Testing team shaping a bestinclass onboarding and documentation experience across global regions. Collaborate with WKO DDS and crossfunctional partners to embed data AI and automation into controls that scale. Grow your career by delivering measurable risk reduction stronger compliance and operational resilience.

Job Summary
As a Data & AI Control Manager within the Strategic Control Testing group in OCM you design and execute datadriven control testing across Client Onboarding & Documentation including WKO and DDS. You build automation and apply AI/MLincluding Generative AIto enhance risk detection continuous monitoring and regulatory compliance. You partner across businesses and Corporate Functions to close control gaps uplift resilience and maintain auditready evidence.

Job Responsibilities

• Lead strategic control testing engagements using analytics to surface gaps and BAU breaks; drive actionable remediation.
• Build and productionize AI/ML solutions (classification anomaly detection risk scoring entity resolution) and GenAI workflows.
• Automate endtoend testing and control processes with Alteryx Power BI/Tableau and workflow/RPA platforms.
• Operationalize proactive alerts and dashboards for KRIs and regulatory priorities.
• Partner with WKO DDS Controls Operations Technology and Data teams to define requirements and ensure explainability/auditability.
• Maintain highquality reporting and executive summaries on trends systemic issues and control weaknesses.
• Stay current on LLMs/GenAI and advanced ML; identify highvalue use cases with appropriate guardrails.
• Design statistical tests and MLbased monitors for policy legal and regulatory compliance aligned to audit and model risk governance.
• Build pipelines to ingest profile cleanse and join large datasets from systems of record for repeatable analytics.
• Apply LLMs/GenAI for document parsing policy mapping and exception narrative synthesis using RAG and prompt engineering.
• Translate KYC/CO&D requirements into measurable tests and rules; tune to reduce false positives and document methods for audits.

Required Qualifications Capabilities and Skills (limit 7 points; each starts with verb/adverb; exclude prefer)

• Hold a bachelors or advanced degree in a quantitative field (Computer Science Statistics Engineering Data Science).
• Bring 6 years in risk management/financial services across compliance financial crimes operational risk audit or BPM with automation/modeling exposure.
• Demonstrate proficiency in Python or R for data manipulation model development and testing automation at scale.
• Apply modern ML pattern recognition and statistical analysis with clear understanding of limitations in regulated environments.
• Consume APIs and integrate diverse data sources while adhering to data governance lineage and quality standards.
• Execute control testing with strong control design root cause analysis and documentation discipline.
• Partner across business operations and technology to deliver measurable risk and control outcomes.

Preferred Qualifications Capabilities and Skills (limit 7 points; each starts with verb/adverb)

• Leverage handson experience with LLMs/GenAI and ML techniques for predictive modeling and monitoring.
• Utilize advanced analytics (regression classification clustering dimensionality reduction) to improve control effectiveness.
• Manage 23 automation initiatives concurrently across global teams and time zones with clear governance.
• Strengthen compliance by aligning evidence to audit and model risk standards and ensuring explainability.
• Enhance data reliability via metadata lineage tracking and secure usage aligned to regulatory requirements.
• Communicate complex findings through concise executive summaries dashboards and stakeholder forums.
• Institutionalize lessons learned via playbooks standardized test scripts and reusable control components.