Machine Learning Engineer

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology to serve millions of customers worldwide, and our Machine Learning Engineer role in the Predictive Science team offers you the chance to make a tangible impact. Based in the heart of New York, NY, you will join a dynamic group focused on harnessing advanced AI and machine learning to drive innovation in financial services. From enhancing fraud prevention systems to personalizing banking experiences, your work will directly contribute to the security and satisfaction of Chase's vast customer base, all while navigating the complexities of a global financial institution. In this role, you will collaborate with elite teams of data scientists, engineers, and business experts to build robust ML models tailored to the unique demands of banking. Expect to dive into large-scale datasets encompassing transaction histories, market trends, and customer behaviors, applying techniques like supervised learning for credit risk prediction and unsupervised methods for anomaly detection. You will ensure models are not only accurate but also compliant with stringent regulations such as those from the SEC and FDIC, upholding JP Morgan Chase's commitment to ethical AI and data privacy. Beyond technical contributions, you will play a key part in fostering a culture of continuous improvement, iterating on models to adapt to real-time financial dynamics and emerging threats. This position demands a blend of technical expertise and business acumen, offering opportunities for growth in one of the world's leading financial firms. If you are passionate about using machine learning to solve real-world challenges in finance, join us to shape the future of banking at JP Morgan Chase.

Key Responsibilities

• Design, develop, and deploy machine learning models to enhance customer experiences for millions of Chase clients
• Collaborate with cross-functional teams including data scientists, product managers, and risk analysts to solve complex financial problems
• Build and optimize predictive models for fraud detection, credit risk assessment, and personalized financial recommendations
• Integrate ML solutions into production environments, ensuring scalability and reliability in a high-stakes banking context
• Conduct data analysis and feature engineering using large-scale financial datasets from transaction histories and market data
• Monitor and maintain ML model performance, implementing retraining pipelines to adapt to evolving market conditions
• Ensure compliance with financial regulations and ethical AI practices in all model deployments
• Contribute to innovation in predictive science, leveraging AI to drive business growth and operational efficiency at JP Morgan Chase
• Document model methodologies and present findings to senior stakeholders for strategic decision-making

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field; advanced degree preferred
• 3+ years of experience in machine learning engineering or data science roles
• Proficiency in Python, R, or Java for developing ML models
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Knowledge of financial services concepts, such as risk modeling, fraud detection, or customer analytics
• Excellent problem-solving skills and ability to work in a fast-paced environment

Preferred Qualifications

• Master's or PhD in a quantitative field with focus on AI/ML
• Experience in the financial services industry, particularly with regulatory compliance (e.g., GDPR, CCAR)
• Familiarity with deep learning frameworks like TensorFlow or PyTorch
• Prior work on scalable ML systems for high-volume transaction data
• Certifications in machine learning (e.g., Google Professional ML Engineer)

Required Skills

• Machine Learning Algorithms
• Python Programming
• Data Modeling and Feature Engineering
• SQL and Database Management
• Big Data Tools (Spark, Hadoop)
• Cloud Computing (AWS, GCP)
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Statistical Analysis
• Fraud Detection Techniques
• Risk Modeling in Finance
• Agile Methodologies
• Cross-Functional Collaboration
• Problem-Solving
• Attention to Detail
• Communication and Presentation Skills

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.