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.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Bachelor's or advanced degree in Computer Science, Statistics, Engineering, Data Science, or related quantitative field
- 6+ years' experience in financial services risk management, compliance, financial crimes, operational risk, audit, or BPM with automation exposure
- Proficiency in Python or R for data manipulation, model development, and testing automation on large datasets
- Experience applying modern ML and advanced analytics techniques (regression, classification, clustering, dimensionality reduction)
- Ability to integrate data sources using APIs and apply data engineering practices for repeatable testing
- Implement data governance principles including data quality controls, metadata, lineage, and secure usage standards
- Experience designing explainable, auditable analytical outputs aligned to regulatory and firm standards
- Experience with LLMs/Generative AI and understanding their limitations in regulated environments
- Control testing knowledge including control design and root-cause analysis
- Experience building automation and analytics using Alteryx, Power BI/Tableau, and workflow/RPA platforms
- Experience implementing monitoring for model drift, accuracy, and business KPIs with evaluation frameworks
- Ability to manage multiple automation initiatives across global teams and time zones
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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