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.