Applied AI ML Associate - AI for Operations - Customer Onboarding and Documentation

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are pioneering the integration of Artificial Intelligence and Machine Learning to revolutionize financial services operations. As an Applied AI ML Associate in the AI for Operations team focused on Customer Onboarding and Documentation, you will play a pivotal role in leveraging predictive science to streamline complex processes that are critical to our global banking operations. Based in our dynamic London office, you will contribute to innovative solutions that automate documentation handling, enhance compliance, and accelerate customer onboarding—ultimately driving efficiency and reducing risks in a highly regulated industry. This position offers the opportunity to work on cutting-edge AI projects that directly impact millions of clients, collaborating with top-tier talent in a supportive environment that values innovation and professional growth. Your core responsibilities will involve developing scalable ML models to extract insights from unstructured data in onboarding documents, predict potential delays or compliance gaps, and automate routine tasks traditionally performed manually. You will partner closely with operations specialists, data engineers, and compliance experts to ensure AI solutions align with JP Morgan Chase's stringent standards for security, accuracy, and ethical deployment. By applying advanced techniques like NLP and predictive analytics, you will help transform how we manage customer documentation, enabling faster market entry for clients while minimizing operational costs and errors in our wholesale and retail banking divisions. We seek passionate individuals who thrive in a fast-paced, collaborative setting and are eager to apply their AI expertise to real-world financial challenges. Joining JP Morgan Chase means becoming part of a legacy of excellence, with access to world-class resources and a commitment to fostering diversity and inclusion. If you are ready to shape the future of AI in banking operations, this role provides the platform to make a lasting impact on one of the world's leading financial institutions.

Key Responsibilities

• Develop and deploy applied AI/ML models to automate and enhance customer onboarding processes, reducing manual documentation efforts and improving accuracy
• Collaborate with operations teams to identify AI opportunities in documentation workflows, such as intelligent data extraction from KYC forms and contracts
• Design predictive models for risk assessment in onboarding, leveraging historical data to flag potential compliance issues early
• Integrate AI solutions with JP Morgan Chase's existing technology stack, ensuring seamless scalability and security in a regulated financial environment
• Conduct data analysis and feature engineering on large datasets from customer interactions and transaction records to train robust ML models
• Monitor and optimize deployed models for performance, incorporating feedback loops to refine AI-driven operational efficiencies
• Partner with cross-functional teams, including legal, compliance, and IT, to ensure AI implementations adhere to financial regulations and ethical standards
• Contribute to innovation initiatives by prototyping new AI use cases for operations, such as anomaly detection in documentation processes
• Document model methodologies, outcomes, and business impacts to support internal audits and stakeholder reporting
• Stay abreast of emerging AI trends and technologies, applying them to enhance JP Morgan Chase's competitive edge in financial services operations

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) preferred
• 2-5 years of professional experience in applied machine learning, AI development, or data science roles within financial services or technology sectors
• Proven track record of deploying AI/ML models in production environments, particularly in operations or customer-facing processes
• Strong programming proficiency in Python, R, or Java, with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data processing, feature engineering, and model evaluation in large-scale datasets relevant to financial operations
• Familiarity with regulatory compliance in financial services, including data privacy standards like GDPR and AML/KYC requirements
• Ability to collaborate in cross-functional teams, including operations, engineering, and compliance stakeholders

Preferred Qualifications

• Experience in AI applications for customer onboarding, documentation automation, or process optimization in banking
• Knowledge of natural language processing (NLP) techniques for handling unstructured financial documents
• Prior work at a major financial institution, with exposure to high-volume transaction processing or risk management systems
• Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) or financial technology
• Demonstrated contributions to open-source AI projects or publications in predictive analytics for operations

Required Skills

• Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)
• Python Programming and Data Manipulation (Pandas, NumPy)
• Natural Language Processing (NLP) for document analysis
• Data Engineering and ETL Processes
• Model Deployment and MLOps (e.g., Docker, Kubernetes)
• Statistical Analysis and Predictive Modeling
• Financial Regulations Knowledge (KYC, AML, GDPR)
• Cloud Platforms (AWS, Azure, or GCP) for AI workloads
• Version Control and Collaboration Tools (Git, Jira)
• Problem-Solving and Analytical Thinking
• Communication Skills for Technical and Business Audiences
• Agile Methodologies in Software Development
• Big Data Technologies (Hadoop, Spark)
• Ethical AI Practices and Bias Mitigation
• Project Management in Cross-Functional Teams

Benefits

• Competitive base salary and performance-based annual bonuses aligned with JP Morgan Chase's financial success
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Generous retirement savings plan with company matching contributions up to 6% of eligible compensation
• Paid time off including 20+ vacation days, sick leave, and flexible hybrid work arrangements in London
• Professional development opportunities through internal training programs, tuition reimbursement, and access to global learning platforms
• Employee stock purchase plan and other financial wellness benefits tailored to the banking industry
• Wellness programs including gym memberships, mental health support, and family care resources
• Inclusive culture with diversity initiatives, employee resource groups, and community volunteering opportunities

JP Morgan Chase is an equal opportunity employer.