Applied AI Engineer-Sr. Associate

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging applied AI to transform the financial services landscape, delivering innovative solutions that drive client success and operational excellence. As an Applied AI Engineer - Sr. Associate in our Predictive Science team based in Wilmington, DE, you will join an agile, high-performing group dedicated to pushing technological boundaries. Your role will involve developing cutting-edge AI models to enhance predictive capabilities in areas such as fraud detection, risk modeling, and personalized banking experiences. By integrating AI into our core financial products, you will contribute to safer, smarter, and more efficient services for millions of global clients, all while adhering to the highest standards of regulatory compliance and ethical AI practices. In this position, you will collaborate closely with data scientists, software engineers, and business stakeholders to ideate, prototype, and deploy AI solutions tailored to JP Morgan's dynamic financial environment. Expect to tackle complex challenges like building scalable machine learning pipelines for real-time transaction monitoring or optimizing algorithms for investment portfolio predictions. Your work will directly impact key initiatives, such as enhancing cybersecurity through anomaly detection or improving customer engagement via NLP-driven chatbots. With access to vast datasets and state-of-the-art tools, you will innovate within an agile framework, iterating rapidly to deliver value in a fast-paced, regulated industry. We value engineers who thrive in collaborative settings and are passionate about the intersection of AI and finance. This role offers unparalleled opportunities for growth at one of the world's leading financial institutions, where your contributions will shape the future of predictive science. If you are ready to apply your expertise to real-world financial problems and be part of a team that's redefining what's possible, join us in Wilmington, DE, to build the next generation of AI-powered banking solutions.

Key Responsibilities

• Collaborate with cross-functional agile teams to design, develop, and deploy AI-driven solutions that enhance predictive modeling for risk management and customer insights in JP Morgan Chase's financial products
• Build and optimize machine learning models to predict market trends, detect fraudulent activities, and improve operational efficiency in banking services
• Integrate AI technologies into existing JP Morgan platforms, ensuring scalability, security, and compliance with financial industry standards
• Conduct data analysis and experimentation to identify opportunities for AI innovation in areas like credit scoring and personalized financial advice
• Monitor and maintain deployed AI models, performing regular updates and retraining to adapt to evolving financial data and regulations
• Partner with data scientists and engineers to create robust data pipelines for real-time AI applications in trading and investment management
• Contribute to the development of ethical AI frameworks, focusing on transparency and fairness in algorithmic decision-making for JP Morgan's global operations
• Document technical processes and present findings to stakeholders, including senior leadership, to drive AI adoption across the firm
• Stay abreast of emerging AI trends and technologies, recommending implementations that align with JP Morgan's strategic goals in predictive science

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred
• 3+ years of experience in applied AI, machine learning, or data science roles within the financial services industry
• Proficiency in Python, R, or Java for developing AI models and applications
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong understanding of AI ethics, bias mitigation, and regulatory compliance in financial contexts like GDPR and SEC guidelines
• Experience working in agile environments with version control systems like Git
• Ability to handle large-scale datasets and perform data preprocessing, feature engineering, and model evaluation

Preferred Qualifications

• Master's or PhD in AI, Machine Learning, or a quantitative field
• Experience with natural language processing (NLP) or computer vision applications in fraud detection or risk assessment
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions
• Prior work at a major financial institution, with knowledge of banking regulations and predictive analytics
• Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer) or financial technology

Required Skills

• Machine Learning and AI model development
• Python programming expertise
• Data analysis and statistical modeling
• Agile methodologies and team collaboration
• Cloud computing (AWS/Azure)
• Big data technologies (Hadoop, Spark)
• SQL and database management
• Version control with Git
• Problem-solving and critical thinking
• Communication and stakeholder presentation
• Knowledge of financial regulations
• Ethical AI practices
• Model deployment and MLOps
• Feature engineering and data preprocessing
• Risk assessment in predictive analytics

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, such as 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 Wilmington, DE

JP Morgan Chase is an equal opportunity employer.