Applied AI ML Lead - DocAI

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology to transform the financial services industry, and our Applied AI ML Lead - DocAI role in our Predictive Science team is pivotal to this mission. Based in our dynamic London office, you will lead innovative AI initiatives focused on Document AI (DocAI), enabling smarter, faster processing of financial documents such as contracts, reports, and regulatory filings. As a key player in one of the world's largest financial institutions, you will drive the application of machine learning to extract actionable insights from unstructured data, enhancing efficiency in areas like compliance, risk management, and client services. This position offers the opportunity to work on cutting-edge projects that directly impact global finance, collaborating with top-tier talent in a supportive, innovative environment. In this leadership role, you will spearhead the development of advanced ML models using techniques in NLP, computer vision, and predictive analytics tailored to the complexities of financial data. You will guide a team of engineers in building scalable solutions that integrate seamlessly with JP Morgan's enterprise systems, ensuring robustness against high-stakes scenarios like market volatility or regulatory changes. Responsibilities include prototyping novel algorithms, optimizing for performance in cloud-based infrastructures, and championing ethical AI practices to maintain trust and compliance. Your work will contribute to real-world outcomes, such as automating fraud detection in transaction documents or streamlining KYC processes, ultimately delivering maximum value to our clients and the firm. We seek a visionary leader passionate about AI's potential in finance, with a blend of technical depth and strategic foresight. Joining JP Morgan Chase means becoming part of a legacy of excellence, where your expertise will shape the future of intelligent document processing. With access to world-class resources, ongoing professional growth, and a culture that values diversity and inclusion, this role is ideal for those ready to make a lasting impact in the heart of London's financial district.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML models for DocAI, focusing on automating document analysis in financial workflows
• Mentor and manage a team of AI/ML engineers, fostering innovation in predictive science applications for JP Morgan Chase
• Collaborate with business stakeholders to identify AI opportunities in areas like loan processing, regulatory reporting, and client onboarding
• Ensure models are robust, scalable, and compliant with financial regulations, integrating ethical AI practices
• Conduct research and experimentation on state-of-the-art techniques in NLP and OCR for handling diverse financial documents
• Optimize ML pipelines for performance in high-volume, real-time financial environments
• Drive cross-team initiatives to integrate DocAI solutions into JP Morgan's broader technology ecosystem
• Monitor and iterate on deployed models to maintain accuracy and adapt to evolving financial data landscapes
• Present technical findings and roadmaps to senior leadership to align with strategic goals

Required Qualifications

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or a related quantitative field
• 7+ years of experience in applied AI/ML, with at least 3 years leading teams in developing and deploying ML models
• Proven track record in document AI, natural language processing (NLP), and computer vision for extracting insights from unstructured financial documents
• Strong experience with Python, TensorFlow, PyTorch, and cloud platforms like AWS or Azure for scalable ML solutions
• Demonstrated ability to collaborate with cross-functional teams in a fast-paced financial services environment
• Expertise in handling sensitive financial data with compliance to regulations like GDPR and SEC standards

Preferred Qualifications

• Experience in the financial services industry, particularly in areas like risk assessment, compliance, or fraud detection using AI
• Familiarity with JP Morgan Chase's tech stack or similar enterprise environments
• Publications or contributions to open-source projects in AI/ML for document processing
• Certification in AI/ML from recognized bodies like Google Cloud or AWS

Required Skills

• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques
• Python programming and data manipulation libraries (Pandas, NumPy)
• Cloud computing (AWS SageMaker, Google Cloud AI, or Azure ML)
• Version control and CI/CD pipelines (Git, Jenkins)
• Data privacy and compliance in financial contexts (GDPR, SOX)
• Leadership and team management
• Problem-solving and analytical thinking
• Communication and stakeholder engagement
• Agile methodologies and project management
• Big data technologies (Hadoop, Spark)
• Model evaluation and explainability tools (SHAP, LIME)
• Financial domain knowledge (e.g., risk modeling, document workflows)

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan's compensation philosophy
• Comprehensive health, dental, and vision insurance with global coverage options
• Generous 401(k) matching and pension plans for long-term financial security
• Paid time off including vacation, sick leave, and parental leave policies
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health support
• Flexible work arrangements with hybrid options in London offices
• Access to exclusive employee discounts and financial planning services

JP Morgan Chase is an equal opportunity employer.