Applied AI/ML - Senior Associate

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform financial services, and we're seeking a talented Applied AI/ML Senior Associate to join our Predictive Science team in New York, NY. As a Machine Learning Scientist with a focus on NLP and deep learning, you will play a pivotal role in developing innovative solutions that drive data-informed decisions across our global operations. This position offers the opportunity to work on cutting-edge projects that impact everything from fraud prevention and risk management to customer experience enhancement in one of the world's leading financial institutions. With a commitment to responsible AI, you'll contribute to models that are not only accurate but also compliant with stringent regulatory standards in the finance industry. In this role, you will dive deep into unstructured data sources unique to banking, such as transaction narratives, compliance documents, and market sentiment feeds, applying advanced NLP techniques to uncover actionable insights. You'll collaborate closely with multidisciplinary teams to prototype, test, and deploy deep learning models that integrate seamlessly with JP Morgan's robust technology ecosystem. Expect to tackle real-world challenges like building sentiment analysis tools for investment advisory or entity recognition systems for anti-money laundering efforts, all while ensuring models scale efficiently in a high-volume financial environment. Your expertise will help us maintain our edge in predictive analytics, supporting strategic initiatives that serve millions of clients worldwide. We value innovation balanced with prudence, and as a Senior Associate, you'll mentor junior team members, lead technical discussions, and influence the firm's AI roadmap. This position is ideal for a passionate ML expert eager to apply their skills in a dynamic, purpose-driven setting where your work directly contributes to economic growth and financial stability. Join JP Morgan Chase and be part of a culture that fosters continuous learning, diversity, and inclusion, empowering you to make a lasting impact in the evolving landscape of AI in finance.

Key Responsibilities

• Develop and deploy advanced NLP models for extracting insights from unstructured financial data, such as market reports, customer communications, and regulatory filings
• Design deep learning architectures to enhance predictive analytics for risk assessment, fraud detection, and personalized banking services at JP Morgan Chase
• Collaborate with data scientists and engineers to build scalable ML pipelines that integrate with JP Morgan's core banking systems
• Conduct experiments to optimize model performance, ensuring robustness and interpretability in financial decision-making
• Analyze and preprocess large volumes of financial datasets, applying techniques like tokenization, sentiment analysis, and entity recognition
• Partner with business units to translate complex financial problems into AI-driven solutions, driving innovation in areas like wealth management and investment advisory
• Monitor and maintain deployed models, incorporating feedback loops for continuous improvement and compliance with internal governance standards
• Contribute to the ethical AI framework at JP Morgan, focusing on bias detection and fairness in ML applications for global financial services
• Stay abreast of emerging AI trends and research, applying them to enhance JP Morgan's competitive edge in predictive science
• Document methodologies and present findings to senior leadership, influencing strategic AI initiatives across the firm

Required Qualifications

• Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field
• 3+ years of hands-on experience in machine learning, with a strong focus on NLP and deep learning
• Proven track record of implementing and deploying ML models in production environments
• Experience working with large-scale datasets in a financial or high-stakes industry
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Strong understanding of ethical AI practices, bias mitigation, and regulatory compliance in finance
• Ability to collaborate with cross-functional teams including data engineers, product managers, and business stakeholders

Preferred Qualifications

• Experience in financial services, such as fraud detection, risk modeling, or algorithmic trading
• Publications or contributions to open-source projects in NLP or deep learning
• Familiarity with cloud platforms like AWS, Azure, or GCP for ML model deployment
• Knowledge of regulatory frameworks like GDPR, CCPA, or SEC guidelines for AI in finance
• Advanced degree with thesis or research focused on applied AI in predictive analytics

Required Skills

• Natural Language Processing (NLP) techniques including BERT, GPT models, and transformers
• Deep Learning frameworks: TensorFlow, PyTorch, Keras
• Python programming with libraries like NLTK, spaCy, and scikit-learn
• Data preprocessing and feature engineering for financial text data
• Model evaluation metrics: precision, recall, F1-score, ROC-AUC
• Cloud computing: AWS SageMaker, Google Cloud AI, or Azure ML
• Version control: Git, and CI/CD pipelines for ML deployment
• Statistical analysis and hypothesis testing
• Problem-solving and analytical thinking
• Communication: presenting technical concepts to non-technical stakeholders
• Team collaboration and agile methodologies
• Knowledge of financial domains: risk modeling, compliance, and market analysis
• Ethical AI: bias detection tools like Fairlearn or AIF360
• Big data tools: Hadoop, Spark for handling large datasets
• SQL and database querying for data integration

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 programs, including tuition reimbursement and access to internal training
• 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.