Data scientist Senior associate

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to combat financial crime and ensure regulatory compliance. As a Data Science Senior Associate in the Consumer and Community Banking Anti-Money Laundering (AML) and Know Your Customer (KYC) Product team, you will play a pivotal role in developing scalable tools that integrate large language models, predictive models, and generative AI solutions. Based in Wilmington, DE, this position within our Predictive Science category offers the opportunity to innovate in a high-impact area of financial services, directly contributing to the safety and integrity of our banking operations. You will work on advanced AI applications that enhance transaction monitoring, customer due diligence, and fraud prevention, all while adhering to stringent global regulations. Your primary focus will be on designing and implementing AI-driven models that process vast amounts of transaction and customer data to detect anomalies and suspicious patterns in real-time. Collaborating with compliance experts, data engineers, and product managers, you will build robust, ethical AI systems that not only meet but exceed JP Morgan Chase's commitment to responsible innovation. This includes integrating generative AI for automated report generation and natural language processing for enhanced KYC workflows, ensuring our solutions are both efficient and scalable across our global consumer banking platform. In this role, you will thrive in a dynamic environment that values data-driven decision-making and continuous learning. JP Morgan Chase provides unparalleled resources for professional growth, including access to state-of-the-art AI research and a culture of collaboration that spans our vast organization. If you are passionate about using technology to safeguard the financial system and eager to make a tangible impact at one of the world's leading financial institutions, this position offers an exciting path to advance your career in predictive science and financial compliance.

Key Responsibilities

• Develop and deploy scalable data science tools that integrate large language models, predictive analytics, and generative AI to enhance AML and KYC processes within JP Morgan Chase's Consumer and Community Banking division
• Collaborate with cross-functional teams, including compliance, product, and engineering, to identify data-driven opportunities for fraud detection and customer verification
• Build, test, and optimize machine learning models to predict and mitigate financial crimes, ensuring models meet regulatory standards
• Integrate AI solutions into existing banking platforms, focusing on real-time transaction monitoring and customer onboarding
• Analyze large datasets from diverse sources to uncover patterns of suspicious activity and improve model accuracy
• Stay abreast of evolving AML/KYC regulations and incorporate them into AI model development to support JP Morgan Chase's compliance efforts
• Mentor junior data scientists and contribute to the team's knowledge-sharing initiatives
• Conduct model validation, performance monitoring, and iterative improvements to ensure robust and ethical AI applications
• Document methodologies, model assumptions, and outcomes to facilitate audits and stakeholder reviews
• Participate in innovation projects exploring advanced AI techniques for financial services risk management

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred
• 3+ years of experience in data science, machine learning, or predictive modeling within the financial services industry
• Proven experience developing and deploying AI/ML models, including large language models and generative AI, in production environments
• Strong understanding of anti-money laundering (AML) and know your customer (KYC) regulations and compliance requirements in banking
• Proficiency in programming languages such as Python, R, or Java, with experience in data manipulation and analysis libraries
• Experience with scalable data tools and platforms, including cloud services like AWS, Azure, or GCP
• Ability to work collaboratively in cross-functional teams to deliver data-driven solutions

Preferred Qualifications

• Master's or PhD in a quantitative discipline with a focus on AI/ML
• Experience in financial crime detection or risk management at a major bank or fintech firm
• Familiarity with JP Morgan Chase's internal data platforms and tools
• Certifications in AML/KYC compliance or data science (e.g., CFA, CRISC, or AWS Certified Machine Learning)
• Prior work integrating generative AI into regulatory compliance workflows

Required Skills

• Python programming and libraries like Pandas, NumPy, Scikit-learn
• Machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Experience with large language models (LLMs) and generative AI tools like GPT or BERT
• Data visualization tools including Tableau, Power BI, or Matplotlib
• SQL and big data technologies like Hadoop, Spark, or Kafka
• Cloud computing platforms (AWS, Azure, GCP) for model deployment
• Statistical analysis and predictive modeling techniques
• Knowledge of AML/KYC frameworks and financial regulations (e.g., BSA, FinCEN)
• Problem-solving and analytical thinking
• Strong communication skills for presenting technical concepts to non-technical stakeholders
• Collaboration and teamwork in agile environments
• Ethical AI practices and bias mitigation in models
• Version control with Git and CI/CD pipelines
• Risk assessment and model validation methodologies
• Adaptability to fast-paced, regulated financial services environment

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 other financial wellness benefits
• Wellness programs, including gym memberships and mental health support
• Flexible work arrangements and hybrid work options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.