Applied AI & ML Lead - Markets Operations

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming financial services through cutting-edge technology. As an Applied AI & ML Lead in Markets Operations, you will spearhead initiatives that leverage artificial intelligence and machine learning to revolutionize how we handle global markets activities. Based in our London office, you will drive innovation in areas such as trade processing, settlement optimization, and predictive risk analytics, ensuring our operations remain efficient, resilient, and compliant in a fast-paced financial landscape. This role sits within our Predictive Science category, where your expertise will directly contribute to JP Morgan's mission of delivering superior client outcomes through advanced tech solutions. Your primary focus will be leading a talented team to develop and deploy AI/ML models that address complex challenges in markets operations, from automating reconciliation processes to enhancing real-time decision-making for traders. You will collaborate closely with business leaders, data engineers, and compliance teams to translate operational needs into scalable AI applications, utilizing JP Morgan's vast datasets and proprietary platforms. By integrating technologies like deep learning and natural language processing, you will uncover insights that reduce costs, mitigate risks, and improve accuracy in high-volume trading environments, all while adhering to stringent regulatory standards like those from the FCA and ESMA. We seek a visionary leader passionate about AI's potential in finance, with a proven ability to bridge technical innovation and business impact. In this role, you will not only architect state-of-the-art solutions but also mentor emerging talent and champion ethical AI practices within JP Morgan Chase. Join us to shape the future of markets operations and be part of a global team that powers the world's leading financial institution.

Key Responsibilities

• Lead the design, development, and deployment of AI and ML models to optimize markets operations processes, such as trade reconciliation, settlement, and risk assessment
• Collaborate with cross-functional teams including traders, operations specialists, and data scientists to identify AI-driven opportunities for efficiency and innovation
• Oversee a team of AI/ML engineers, providing mentorship and guiding technical roadmaps aligned with JP Morgan Chase's strategic goals
• Integrate advanced predictive analytics into real-time markets operations to enhance decision-making and reduce operational risks
• Conduct research on emerging AI technologies and evaluate their applicability to financial services challenges
• Ensure AI solutions comply with internal governance, data privacy standards, and regulatory requirements in the financial industry
• Develop scalable ML pipelines for handling large-scale financial datasets, leveraging JP Morgan's infrastructure
• Monitor and optimize deployed models for performance, accuracy, and cost-efficiency in production environments
• Present AI/ML insights and project outcomes to senior stakeholders to drive adoption across Markets Operations
• Foster a culture of innovation by piloting experimental AI applications in areas like fraud detection and process automation

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field; advanced degree (Master's or PhD) preferred
• 8+ years of experience in AI/ML development and deployment, with at least 3 years in a leadership role
• Proven track record of leading AI/ML projects in financial services, particularly in markets operations or trading environments
• Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong understanding of financial markets, including equities, fixed income, derivatives, and risk management
• Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)
• Excellent communication skills with the ability to collaborate across technical and business teams

Preferred Qualifications

• PhD in AI, Machine Learning, or a quantitative field
• Experience in applying AI/ML to operational efficiency in high-frequency trading or post-trade processing
• Familiarity with regulatory requirements in financial services (e.g., MiFID II, Dodd-Frank)
• Prior work at a major financial institution like JP Morgan Chase or similar
• Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer)

Required Skills

• Machine Learning Algorithms (supervised, unsupervised, reinforcement learning)
• Deep Learning Techniques (neural networks, CNNs, RNNs)
• Python Programming and Data Manipulation (Pandas, NumPy)
• Financial Data Analysis and Time-Series Forecasting
• Cloud Computing and MLOps (Kubernetes, Docker, CI/CD pipelines)
• Big Data Processing (Apache Spark, Kafka for streaming data)
• Risk Modeling and Quantitative Analysis in Finance
• Leadership and Team Management
• Stakeholder Communication and Presentation Skills
• Problem-Solving in High-Pressure Environments
• Agile Methodologies and Project Management
• Data Privacy and Ethical AI Practices
• SQL and Database Management (e.g., for financial datasets)
• Version Control (Git) and Collaborative Development
• Domain Knowledge in Markets Operations and Trading Systems

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension plan contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexibility for work-life balance
• Access to global mobility programs and career advancement within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.