Applied AI/ML - Senior Associate

Location: Chicago, IL, United States

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 the financial services landscape. As an Applied AI/ML Senior Associate in our Predictive Science team based in Chicago, IL, you will play a pivotal role in developing innovative solutions that drive business value across our global operations. This position involves applying advanced AI techniques to solve real-world challenges in areas such as fraud detection, credit risk modeling, personalized banking experiences, and algorithmic trading strategies. You will work within a dynamic, collaborative environment, partnering with cross-functional teams including data engineers, business analysts, and compliance experts to deliver scalable, impactful AI models that adhere to stringent financial regulations and ethical standards. Your day-to-day responsibilities will include designing and implementing machine learning pipelines using state-of-the-art tools and frameworks, from data ingestion and preprocessing to model training, validation, and deployment in production environments. You will analyze vast datasets from JP Morgan's extensive financial ecosystem, engineering features that capture market dynamics and customer behaviors to build robust predictive models. Additionally, you will ensure model explainability and fairness, particularly in high-stakes applications like loan approvals or investment recommendations, while navigating complex regulatory landscapes such as those governed by the SEC and Federal Reserve. This role offers the opportunity to innovate at the intersection of technology and finance, contributing to JP Morgan's mission of powering the progress of the global economy through AI-driven insights. We seek a passionate professional who thrives in a fast-paced setting and is eager to advance their career at one of the world's leading financial institutions. With access to cutting-edge resources, mentorship from industry experts, and a commitment to work-life balance, this position provides a platform for professional growth and meaningful impact. Join us in Chicago to help shape the future of AI in banking and elevate JP Morgan Chase's competitive edge in the digital era.

Key Responsibilities

• Develop and deploy advanced AI/ML models to address complex business challenges in areas like risk assessment, customer personalization, and fraud prevention at JP Morgan Chase
• Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven solutions in the financial services domain
• Design, build, and optimize machine learning pipelines for processing large-scale financial datasets, ensuring scalability and performance
• Conduct data analysis and feature engineering to enhance model accuracy and interpretability in compliance with regulatory requirements
• Integrate AI/ML solutions into JP Morgan's core banking platforms, such as transaction monitoring systems or investment advisory tools
• Monitor and maintain deployed models, performing retraining and A/B testing to adapt to evolving market conditions
• Contribute to innovation initiatives by prototyping new AI applications for predictive analytics in wealth management or capital markets
• Ensure adherence to ethical AI guidelines and data governance policies specific to the financial industry
• Mentor junior team members and participate in knowledge-sharing sessions within the Predictive Science team
• Stay abreast of emerging AI trends and technologies to recommend improvements for JP Morgan's AI strategy

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; advanced degree preferred
• 5+ years of experience in applied AI/ML development, with a focus on financial services or large-scale data environments
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Demonstrated ability to deploy machine learning models in production environments, including cloud platforms like AWS, Azure, or Google Cloud
• Strong understanding of data privacy regulations such as GDPR and financial compliance standards like SOX
• Experience with big data technologies such as Hadoop, Spark, or SQL/NoSQL databases
• Excellent problem-solving skills and ability to work collaboratively in cross-functional teams

Preferred Qualifications

• Master's or PhD in AI, Machine Learning, or a quantitative field
• Prior experience in the financial services industry, particularly in risk modeling, fraud detection, or algorithmic trading
• Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer) or cloud computing
• Knowledge of explainable AI techniques and ethical AI practices
• Experience with natural language processing (NLP) or computer vision applied to financial datasets

Required Skills

• Machine Learning Algorithms (e.g., regression, classification, clustering)
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Data Processing and Analysis (Pandas, NumPy)
• Big Data Tools (Apache Spark, Hadoop)
• Cloud Computing (AWS, Azure, GCP)
• SQL and Database Management
• Python Programming
• Statistical Modeling and Hypothesis Testing
• Model Deployment and MLOps
• Financial Domain Knowledge (risk, compliance, trading)
• Problem-Solving and Analytical Thinking
• Communication and Stakeholder Management
• Team Collaboration and Leadership
• Ethical AI and Bias Mitigation
• Version Control (Git) and Agile Methodologies

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• 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 and hybrid work options in Chicago

JP Morgan Chase is an equal opportunity employer.