Associate Applied AI & ML Scientist – Markets Operations

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global markets. As an Associate Applied AI & ML Scientist in Markets Operations, you will play a pivotal role in transforming our operations through intelligent automation and predictive solutions. Based in our London office, you will work within the Predictive Science category, focusing on designing and deploying AI/ML models that streamline trade processing, enhance risk detection, and drive operational efficiency in one of the world's largest investment banks. This role offers the opportunity to collaborate with elite teams in a dynamic environment where your contributions directly impact billions in daily transactions. Your primary focus will be on developing scalable AI solutions tailored to the complexities of financial markets, such as real-time anomaly detection in trading data or predictive modeling for settlement delays. You will partner closely with Markets Operations experts, quants, and engineers to translate business challenges into actionable ML pipelines, ensuring models are robust, compliant with regulations like MiFID II, and integrated seamlessly into JP Morgan Chase's proprietary platforms. From prototyping innovative algorithms to monitoring production deployments, you will drive measurable improvements in efficiency, reducing manual interventions and minimizing operational risks in high-stakes environments. We seek passionate individuals who thrive in collaborative, innovative settings and are eager to push the boundaries of AI in finance. Joining JP Morgan Chase means access to unparalleled resources, mentorship from industry leaders, and the chance to contribute to groundbreaking projects that redefine global finance. If you are ready to apply your expertise in AI/ML to make a tangible impact on our Markets Operations, this role in London is your gateway to a rewarding career at a firm committed to excellence and integrity.

Key Responsibilities

• Design, develop, and deploy AI and ML models to optimize market operations processes, such as trade reconciliation and settlement
• Collaborate with Markets Operations teams to identify inefficiencies and propose data-driven solutions using predictive analytics
• Conduct data analysis on large-scale financial datasets to uncover insights that enhance operational efficiency and reduce risks
• Integrate AI solutions into existing JP Morgan Chase systems, ensuring scalability and compliance with regulatory standards
• Experiment with advanced techniques like natural language processing for market data interpretation or anomaly detection in trading patterns
• Monitor and maintain deployed models, performing retraining and performance tuning as market conditions evolve
• Partner with cross-functional stakeholders, including traders, quants, and compliance officers, to align AI initiatives with business goals
• Contribute to innovation by prototyping new AI applications that transform how JP Morgan Chase handles global markets operations
• Ensure ethical AI practices, mitigating biases in models that impact financial decision-making

Required Qualifications

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 3+ years of professional experience in applied AI/ML, preferably in financial services or operations
• Proficiency in Python, R, or similar programming languages for ML model development
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning
• Experience with deploying ML models in production environments, such as cloud platforms (AWS, Azure, or GCP)
• Knowledge of data privacy regulations like GDPR, especially in financial contexts
• Excellent problem-solving skills and ability to work in cross-functional teams

Preferred Qualifications

• Experience in financial markets, trading operations, or risk management
• Familiarity with big data technologies like Hadoop, Spark, or SQL databases
• Publications or contributions to open-source AI/ML projects
• Certification in AI/ML (e.g., Google Professional Machine Learning Engineer)
• Prior work at a major financial institution or fintech company

Required Skills

• Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)
• Data Processing and Analysis (Pandas, NumPy, SQL)
• Cloud Computing (AWS SageMaker, Google Cloud AI, Azure ML)
• Statistical Modeling and Predictive Analytics
• Big Data Tools (Apache Spark, Hadoop)
• Version Control (Git) and CI/CD Pipelines
• Financial Domain Knowledge (Markets, Trading, Risk)
• Problem-Solving and Analytical Thinking
• Communication and Stakeholder Management
• Agile Methodologies and Project Management
• Ethical AI and Bias Mitigation
• Time Management in Fast-Paced Environments
• Natural Language Processing (NLP) for Financial Text
• Anomaly Detection Algorithms
• Model Deployment and MLOps Practices

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension contributions
• Paid time off, including vacation, sick leave, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexibility for work-life balance
• Global mobility programs and relocation support for international roles

JP Morgan Chase is an equal opportunity employer.