Help shape how a global organization manages risk in a rapidly evolving, technology-driven environment. You will use analytics and responsible artificial intelligence to strengthen controls, reduce manual effort, and improve outcomes. You will partner with leaders across the business and influence change beyond your immediate team. Join us to build a modern control program that supports innovation, accountability, and continuous improvement.
As a Client Onboarding and Documentation Operations Control Management – Associate in the Operations Control Management team, you will promote the controls agenda by identifying, assessing, and monitoring key risks while ensuring adherence to operational policies, control standards, and legal and regulatory requirements. You will evaluate and enhance the control framework for artificial intelligence use cases across the organization. You will lead data-driven control reviews, perform proactive assessments, and deliver clear, actionable recommendations that strengthen the overall control environment. You will work in a collaborative culture that values partnership, thoughtful challenge, and measurable impact.
You will be part of a cross-business program modernizing the client onboarding and documentation experience through a more consistent, standardized approach. Your work will help embed governance and best practices for using artificial intelligence in day-to-day activities. You will also help teams adopt smarter testing methods and more automated controls, improving both efficiency and risk coverage. This is an opportunity to build expertise at the intersection of controls, analytics, and responsible technology.
Job responsibilities
- Lead control reviews using analytics and data-driven testing to strengthen the control environment and improve operational efficiency
- Perform proactive monitoring and testing to identify emerging risks and support timely issue identification and resolution
- Conduct root-cause analysis for control issues, including issues driven by Technology including artificial intelligence-related issues, and partner on corrective actions and sustainable remediation
- Automate control testing where appropriate to reduce manual effort and improve consistency and traceability
- Execute risk and control assessments for artificial intelligence solutions, covering model design, data quality, bias and fairness, security, accuracy, and potential failure modes
- Partner with stakeholders across compliance, legal, audit, data, oversight, and onboarding teams to implement governance frameworks, policies, and control standards
- Maintain awareness of evolving AML/KYC risks, holistic operational risks, including AI risks, regulatory expectations, and industry best practices, and incorporate them into the controls agenda
- Influence and drive control improvements across teams beyond direct reporting lines in a dynamic, deadline-driven environment
Required qualifications, capabilities, and skills
- Bachelor’s degree
- Minimum 6 years of experience in financial services
- Knowledge of client onboarding processes, including Anti-Money Laundering and Know Your Customer expectations
- Experience performing data-driven testing and end-to-end control reviews, including risk assessment and control enhancement recommendations
- Experience in risk management, controls, compliance, or audit within a regulated environment
- Strong communication and interpersonal skills, with the ability to build relationships across levels and present findings clearly
- Ability to deliver high-quality results under tight deadlines in a complex, fast-moving environment
Preferred qualifications, capabilities, and skills
- Experience evaluating and applying artificial intelligence and machine learning solutions (including generative artificial intelligence, large language models, or agent-based systems) in a risk, controls, or governance context
- Understanding of the machine learning lifecycle (training, validation, deployment) and key model risk topics such as data quality, bias and fairness, explainability, and monitoring
- Proficiency in Python for analytics, automation, and control testing
- Experience with analytics and workflow automation tools such as Alteryx (or similar) to streamline testing and evidence collection
Skills Required
- Bachelor's degree
- Minimum 6 years of experience in financial services
- Knowledge of client onboarding processes, including Anti-Money Laundering and Know Your Customer expectations
- Experience performing data-driven testing and end-to-end control reviews, including risk assessment and control enhancement recommendations
- Experience in risk management, controls, compliance, or audit within a regulated environment
- Strong communication and interpersonal skills, with ability to build relationships and present findings clearly
- Ability to deliver high-quality results under tight deadlines in a complex, fast-moving environment
- Experience evaluating and applying AI/ML solutions (generative AI, LLMs, agent-based systems) in a risk or governance context
- Understanding of machine learning lifecycle and model risk topics (data quality, bias, explainability, monitoring)
- Proficiency in Python for analytics, automation, and control testing
- Experience with analytics and workflow automation tools such as Alteryx (or similar)
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.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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.
Gallery
.jpeg)
