Applied AI/ML Assiociate

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming global finance through innovative technology, and our Applied AI/ML Associate role in the Payments ML team places you at the heart of this evolution. As an Associate, you will leverage advanced machine learning techniques to drive predictive insights in payment processing, fraud prevention, and transaction optimization. Working within our Predictive Science category, you will contribute to building scalable AI solutions that handle billions of daily transactions, ensuring secure and efficient financial services for clients worldwide. This position, based in New York, NY, offers the opportunity to make a lasting impact on the future of payments in a dynamic, collaborative environment at one of the world's leading financial institutions. Your day-to-day responsibilities will involve developing and deploying ML models using real-world financial data, collaborating with cross-functional teams to integrate AI into our payment platforms, and analyzing patterns to mitigate risks in high-stakes scenarios. You will work with cutting-edge tools and frameworks to create predictive models that enhance decision-making, from real-time fraud detection to personalized payment experiences. At JP Morgan Chase, we emphasize ethical AI practices, so you will also ensure compliance with financial regulations while innovating solutions that support our commitment to responsible banking. This role is ideal for a passionate AI/ML professional eager to apply their expertise in a meaningful way within the financial services industry. Joining JP Morgan Chase means access to unparalleled resources, mentorship from industry leaders, and the chance to grow your career in a firm renowned for its technological advancements. If you thrive in a fast-paced setting and are driven by the potential to shape global finance, this position offers both challenge and reward.

Key Responsibilities

• Develop and deploy machine learning models to enhance payment processing efficiency and fraud detection within JP Morgan Chase's global payments ecosystem
• Analyze large-scale transaction data to identify patterns and predict risks in real-time financial transactions
• Collaborate with product managers, engineers, and compliance teams to integrate AI/ML solutions into payment platforms
• Conduct A/B testing and model validation to ensure accuracy and reliability of predictive algorithms
• Optimize ML models for scalability and performance in high-volume financial environments
• Stay abreast of emerging AI trends and regulatory changes impacting the financial services sector
• Contribute to the innovation of AI-driven features that drive customer experience in digital payments
• Document model methodologies and present findings to senior stakeholders at JP Morgan Chase
• Mentor junior team members on best practices in applied AI for finance

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 2-4 years of professional experience in machine learning, data science, or applied AI roles
• Proficiency in Python or R for data analysis and model development
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong understanding of supervised and unsupervised learning algorithms
• Knowledge of data privacy regulations relevant to financial services, such as GDPR and CCPA
• Ability to work collaboratively in cross-functional teams within a fast-paced environment

Preferred Qualifications

• Master's or PhD in a quantitative discipline with a focus on AI/ML
• Prior experience in the financial services industry, particularly in payments or transaction processing
• Familiarity with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, GCP)
• Publications or contributions to open-source ML projects
• Experience with real-time ML systems or fraud detection models

Required Skills

• Machine Learning Algorithms
• Python Programming
• Data Analysis and Visualization
• SQL and Database Management
• TensorFlow or PyTorch
• Statistical Modeling
• Big Data Processing (Spark, Hadoop)
• Cloud Computing Platforms
• Fraud Detection Techniques
• Regulatory Compliance Knowledge
• Problem-Solving
• Communication and Presentation
• Team Collaboration
• Time Management
• Attention to Detail

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's compensation structure
• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• 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 stock purchase plan and access to financial wellness resources
• Flexible work arrangements, including hybrid options in New York, NY
• On-site fitness centers, wellness programs, and commuter benefits

JP Morgan Chase is an equal opportunity employer.