LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Canary Wharfian
OR continue with e-mail and password
E-mail address
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Control Manager - Senior Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Senior control manager role focused on leading control reviews and risk monitoring for Client Onboarding & Documentation (CO&D) across WKO and DDS. The role leverages analytics, automation, and AI (Alteryx, Python, GenAI/LLM) to enhance controls, perform root cause analysis, and deliver actionable insights to management. It requires cross-functional collaboration with operations, compliance, technology, product, and audit to ensure effective control design and timely resolution of issues. The position is based in Jersey City and demands experience in AML/KYC, operational risk, and process automation.

Compensation
Not specified USD

Currency: $ (USD)

City
Jersey City
Country
United States

Full Job Description

Location: Jersey City, NJ, United States

As a Control Manager – Strategic Testing (Associate) - for Client Onboarding & Documentation (CO&D). , you will lead reviews leveraging advanced analytics, automation, and AI to enhance controls and drive efficiency. You will support the end-to-end CO&D organization across WKO (Wholesale KYC Operations) and DDS (Digital Documentation Services), providing management with insights to understand and monitor key operational risks and regulatory concerns. You will collaborate with global teams, including DDS and WKO Operations, Control Managers, Compliance, Technology, Product and Audit ensuring alignment with firmwide standards. 

 

Job Responsibilities:

  • Lead control review initiatives using analytics, automation, and AI to enhance control environment.
  • Develop a deep understanding of Client Onboarding & Documentation, DDS, WKO operations, and related control policies and systems.
  • Conduct proactive process reviews to identify and address emerging risks.
  • Perform root cause analysis and partner with stakeholders to implement corrective actions.
  • Synthesize complex information into clear, concise reports for management and key stakeholders.
  • Provide strategic advice on risk and control issues, ensuring timely resolution.
  • Ensure controls are well-designed, effective, and support a proactive risk culture.
  • Uphold CORE Standards, Risk Assessment Structures, and program deliverables.
  • Partner across business, operations, legal, compliance, risk, audit, and technology to deliver consistent risk practices.
  • Leverage Alteryx, Python, and GenAI/LLM to automate processes and improve risk management.
  • Deliver results under tight deadlines in a dynamic, evolving environment.

Required Qualifications, Capabilities and Skills:

  • Minimum of 8 years of experience in Controls, Risk Management, Compliance, or related fields.
  • Bachelor’s degree or equivalent experience required.
  • Solid understanding of AML/KYC processes and operational risk management.
  • Ability to adapt in a fast-paced, changing regulatory environment.
  • Strong organizational and time management skills; able to manage multiple priorities.
  • Effective communication and interpersonal skills for cross-team collaboration.
  • Experience supporting process reviews, risk assessments, and audit activities in financial services.
  • Proactive problem-solving and attention to detail.
  • Proficiency in Alteryx, Python, and data analysis tools; proven ability to automate and strengthen controls.
  • Experience applying AI and machine learning (GenAI, Agentic AI) to risk management and process automation.
  • Ability to translate complex data and technical concepts into actionable business insights.

Preferred Qualifications, Capabilities and Skills:

  • Master’s degree or background in Computer Science.
  • Advanced proficiency in Python for data science (Pandas, NumPy, Scikit-learn, TensorFlow, Keras).
  • Advanced experience in pattern recognition, predictive modeling, and statistical analysis.
  • Experience with regression, classification, clustering, dimensionality reduction, and pipeline development.
  • Experience consuming APIs and integrating data sources.
  • Exposure to large-scale digital transformation projects.
  • Demonstrated passion for leveraging technology to solve business challenges.
As a Control Manager, you will drive CO&D agenda, focusing on Risk Identification, Monitoring, and Compliance

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Control Manager - Senior Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

USD

City: Jersey City

Country: United States

Senior control manager role focused on leading control reviews and risk monitoring for Client Onboarding & Documentation (CO&D) across WKO and DDS. The role leverages analytics, automation, and AI (Alteryx, Python, GenAI/LLM) to enhance controls, perform root cause analysis, and deliver actionable insights to management. It requires cross-functional collaboration with operations, compliance, technology, product, and audit to ensure effective control design and timely resolution of issues. The position is based in Jersey City and demands experience in AML/KYC, operational risk, and process automation.

Full Job Description

Location: Jersey City, NJ, United States

As a Control Manager – Strategic Testing (Associate) - for Client Onboarding & Documentation (CO&D). , you will lead reviews leveraging advanced analytics, automation, and AI to enhance controls and drive efficiency. You will support the end-to-end CO&D organization across WKO (Wholesale KYC Operations) and DDS (Digital Documentation Services), providing management with insights to understand and monitor key operational risks and regulatory concerns. You will collaborate with global teams, including DDS and WKO Operations, Control Managers, Compliance, Technology, Product and Audit ensuring alignment with firmwide standards. 

 

Job Responsibilities:

  • Lead control review initiatives using analytics, automation, and AI to enhance control environment.
  • Develop a deep understanding of Client Onboarding & Documentation, DDS, WKO operations, and related control policies and systems.
  • Conduct proactive process reviews to identify and address emerging risks.
  • Perform root cause analysis and partner with stakeholders to implement corrective actions.
  • Synthesize complex information into clear, concise reports for management and key stakeholders.
  • Provide strategic advice on risk and control issues, ensuring timely resolution.
  • Ensure controls are well-designed, effective, and support a proactive risk culture.
  • Uphold CORE Standards, Risk Assessment Structures, and program deliverables.
  • Partner across business, operations, legal, compliance, risk, audit, and technology to deliver consistent risk practices.
  • Leverage Alteryx, Python, and GenAI/LLM to automate processes and improve risk management.
  • Deliver results under tight deadlines in a dynamic, evolving environment.

Required Qualifications, Capabilities and Skills:

  • Minimum of 8 years of experience in Controls, Risk Management, Compliance, or related fields.
  • Bachelor’s degree or equivalent experience required.
  • Solid understanding of AML/KYC processes and operational risk management.
  • Ability to adapt in a fast-paced, changing regulatory environment.
  • Strong organizational and time management skills; able to manage multiple priorities.
  • Effective communication and interpersonal skills for cross-team collaboration.
  • Experience supporting process reviews, risk assessments, and audit activities in financial services.
  • Proactive problem-solving and attention to detail.
  • Proficiency in Alteryx, Python, and data analysis tools; proven ability to automate and strengthen controls.
  • Experience applying AI and machine learning (GenAI, Agentic AI) to risk management and process automation.
  • Ability to translate complex data and technical concepts into actionable business insights.

Preferred Qualifications, Capabilities and Skills:

  • Master’s degree or background in Computer Science.
  • Advanced proficiency in Python for data science (Pandas, NumPy, Scikit-learn, TensorFlow, Keras).
  • Advanced experience in pattern recognition, predictive modeling, and statistical analysis.
  • Experience with regression, classification, clustering, dimensionality reduction, and pipeline development.
  • Experience consuming APIs and integrating data sources.
  • Exposure to large-scale digital transformation projects.
  • Demonstrated passion for leveraging technology to solve business challenges.
As a Control Manager, you will drive CO&D agenda, focusing on Risk Identification, Monitoring, and Compliance