Applied AI ML Associate - Global Banking

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to transform global banking operations. As an Applied AI ML Associate in the Global Banking division, you will play a pivotal role in driving innovation by developing advanced predictive models that solve real-world business challenges. Based in our London office, you will contribute to initiatives that enhance client services, optimize risk management, and improve operational efficiency in a dynamic financial environment. This position within the Predictive Science category offers the opportunity to work on high-impact projects that directly influence JP Morgan Chase's position as a leader in the financial services industry. Your day-to-day responsibilities will involve collaborating with multidisciplinary teams to identify AI opportunities in areas such as credit scoring, market forecasting, and transaction monitoring. You will design, build, and deploy machine learning solutions using state-of-the-art tools, ensuring they are robust, scalable, and compliant with stringent regulatory standards like those from the FCA and PRA. By analyzing vast financial datasets, you will uncover actionable insights that drive strategic decisions, all while adhering to ethical AI practices that prioritize data privacy and fairness in banking applications. We seek passionate individuals who thrive in a fast-paced, innovative culture. Joining JP Morgan Chase means access to cutting-edge resources, mentorship from industry experts, and the chance to advance your career in one of the world's most influential financial institutions. This role not only challenges you technically but also allows you to make a tangible difference in how global banking evolves through AI-driven solutions.

Key Responsibilities

• Develop and deploy machine learning models to address complex challenges in global banking, such as credit risk prediction and fraud detection
• Collaborate with cross-functional teams including data engineers, business analysts, and domain experts to identify AI opportunities
• Design and implement scalable data pipelines for processing financial datasets in real-time
• Conduct exploratory data analysis and feature engineering to enhance model performance
• Integrate AI solutions into JP Morgan Chase's banking platforms, ensuring alignment with business objectives
• Monitor and optimize deployed models for accuracy, efficiency, and compliance with financial regulations
• Stay abreast of emerging AI trends and technologies to drive innovation in predictive analytics
• Document methodologies, model assumptions, and results for stakeholder review and regulatory audits
• Mentor junior team members on best practices in applied AI/ML within the financial sector

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
• 2-4 years of professional experience in applied AI/ML, data science, or software engineering within the financial services industry
• Proficiency in Python, R, or Java for developing machine learning models and data pipelines
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques
• Experience with data manipulation and analysis using libraries like Pandas, NumPy, and Scikit-learn
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions
• Demonstrated ability to work with large-scale datasets and perform feature engineering

Preferred Qualifications

• Master's or PhD in a quantitative discipline with a focus on AI/ML
• Experience in financial modeling, risk assessment, or credit analytics within global banking
• Familiarity with regulatory compliance in finance, such as GDPR or Basel III
• Prior work at a major financial institution on AI-driven projects
• Certifications in machine learning (e.g., Google Professional ML Engineer) or data science

Required Skills

• Machine Learning Frameworks (TensorFlow, PyTorch, Keras)
• Data Processing (Pandas, NumPy, SQL)
• Statistical Analysis and Modeling
• Python Programming
• Cloud Computing (AWS, Azure)
• Big Data Technologies (Hadoop, Spark)
• Version Control (Git)
• Financial Domain Knowledge (Risk Management, Compliance)
• Problem-Solving and Analytical Thinking
• Communication and Stakeholder Management
• Agile Methodologies
• Model Deployment and MLOps
• Data Visualization (Tableau, Matplotlib)
• Time Management and Project Delivery
• Team Collaboration and Leadership

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension plan contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan's internal training programs
• Employee stock purchase plan and financial wellness resources
• Hybrid work flexibility and relocation assistance for London-based roles
• Access to on-site fitness centers, wellness programs, and childcare support

JP Morgan Chase is an equal opportunity employer.