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Control Manager Data Analytics - Senior Associate

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Control Manager Data Analytics - Senior Associate

at J.P. Morgan

Tech LeadNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Jersey City
Country
United States

Lead control review initiatives using analytics, automation, and AI to enhance the control environment for Client Onboarding & Documentation (CO&D). Support end-to-end CO&D across WKO (Wholesale KYC Operations) and DDS (Digital Documentation Services), providing management with insights to monitor key operational and regulatory risks. Collaborate with global teams including DDS, WKO Operations, Compliance, Technology, Product and Audit to ensure alignment with firmwide standards; leverage Alteryx, Python, and GenAI/LLM to automate processes and strengthen controls, delivering results under tight deadlines in a dynamic environment.

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

Control Manager Data Analytics - Senior Associate

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Control Manager Data Analytics - Senior Associate

at J.P. Morgan

Tech LeadNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Jersey City
Country
United States

Lead control review initiatives using analytics, automation, and AI to enhance the control environment for Client Onboarding & Documentation (CO&D). Support end-to-end CO&D across WKO (Wholesale KYC Operations) and DDS (Digital Documentation Services), providing management with insights to monitor key operational and regulatory risks. Collaborate with global teams including DDS, WKO Operations, Compliance, Technology, Product and Audit to ensure alignment with firmwide standards; leverage Alteryx, Python, and GenAI/LLM to automate processes and strengthen controls, delivering results under tight deadlines in a dynamic environment.

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

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