Bulge Bracket Investment Banks

Control Manager

at J.P. Morgan

GraduateNo visa sponsorshipData Science/AI/ML

Posted 10 days ago

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Compensation: Not specified GBP
City: Not specified
Country: United Kingdom

As Control Manager – Strategic Testing in the Client Onboarding & Documentation team, you will lead initiatives to enhance controls and drive efficiency across Wholesale KYC Operations (WKO) and Digital Documentation Services (DDS). You will collaborate with global teams, including Operations, Compliance, Technology, Product, and Audit, to provide management with actionable insights and ensure alignment with firmwide standards. This role focuses on risk identification, monitoring, and compliance, leveraging analytics, automation, and GenAI to strengthen controls and foster a proactive risk culture.

Location: BOURNEMOUTH, DORSET, United Kingdom

Introductory Marketing Language

Are you passionate about leveraging technology to drive risk management and operational excellence? At JPMorganChase, you’ll lead strategic control reviews using advanced analytics, automation, and AI to support our Client Onboarding & Documentation organization. Join a collaborative global team where your insights and expertise will help shape the future of risk and control practices. This is your opportunity to make a meaningful impact in a dynamic, evolving environment.

Job Summary

As a Control Manager – Strategic Testing (Associate) in the Client Onboarding & Documentation team, you will lead initiatives to enhance controls and drive efficiency across Wholesale KYC Operations (WKO) and Digital Documentation Services (DDS). You will collaborate with global teams, including Operations, Compliance, Technology, Product, and Audit, to provide management with actionable insights and ensure alignment with firmwide standards. Together, we will proactively identify and address operational risks and regulatory concerns, fostering a culture of continuous improvement.

Job Responsibilities

Lead control review initiatives using analytics, automation, and AI to enhance the 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

Bachelor’s degree or equivalent experience.

Extensive experience in Controls, Risk Management, Compliance, or related fields.

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

Introductory Marketing Language