Data Scientist Lead

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through innovative technology and data-driven insights. As a Data Scientist Lead in our Predictive Science team, you will play a pivotal role in revolutionizing Client Relationship Management (CRM) by leveraging cutting-edge AI and machine learning. Based in Jersey City, NJ, you will lead efforts to build cloud-centric solutions that personalize client experiences, predict needs, and drive operational excellence. This position offers the opportunity to work on high-impact projects that enhance client trust and loyalty while navigating the complexities of a global banking leader. Your leadership will involve guiding a team of data scientists in developing predictive models that analyze vast datasets from client interactions, transaction histories, and market trends. You will collaborate closely with business units to translate strategic objectives into actionable AI strategies, ensuring solutions are scalable, secure, and compliant with stringent financial regulations. From deploying NLP-driven chatbots for enhanced client engagement to creating risk-forecasting algorithms, your work will directly contribute to JPMorgan Chase's mission of delivering superior client outcomes in a competitive landscape. We seek a visionary leader passionate about innovation in fintech, with the technical acumen to architect robust data pipelines and the soft skills to foster team collaboration. Join us to shape the future of banking, where your expertise in predictive science will empower millions of clients and solidify JPMorgan Chase's position as an industry pioneer. This role not only challenges you intellectually but also provides unparalleled growth opportunities within one of the world's largest financial institutions.

Key Responsibilities

• Lead the design, development, and deployment of advanced AI and machine learning models to enhance client relationship management at JPMorgan Chase
• Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to identify data-driven opportunities for client experience transformation
• Oversee the creation of cloud-centric data pipelines and predictive analytics solutions that drive personalized client interactions and risk assessment
• Mentor and guide junior data scientists, fostering a culture of innovation and best practices in predictive science within the financial services domain
• Conduct data exploration, feature engineering, and model validation to ensure high accuracy and reliability in client-facing applications
• Integrate AI solutions with JPMorgan's core banking systems, ensuring scalability, security, and compliance with industry regulations
• Analyze large-scale client datasets to uncover insights that inform strategic decisions and improve operational efficiency
• Stay abreast of emerging AI trends and technologies, recommending and implementing innovations to maintain JPMorgan's competitive edge in fintech
• Present findings and model performance metrics to senior leadership, translating technical results into business value
• Ensure ethical AI practices, including bias detection and mitigation, in all predictive models developed for client management

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) strongly preferred
• 7+ years of experience in data science, machine learning, or predictive analytics, with at least 3 years in a leadership or lead role
• Proven track record of developing and deploying AI/ML models in a financial services environment, particularly in client relationship management or CRM systems
• Expertise in cloud platforms such as AWS, Azure, or Google Cloud, with hands-on experience in scalable data pipelines and infrastructure
• Strong proficiency in Python, R, or Scala for data analysis and model building, including experience with big data technologies like Spark or Hadoop
• Demonstrated ability to lead cross-functional teams and collaborate with stakeholders in a fast-paced, regulated industry like banking
• Excellent problem-solving skills and ability to handle complex datasets while ensuring compliance with financial regulations such as GDPR and SEC guidelines

Preferred Qualifications

• Experience in the financial services sector, specifically with JPMorgan Chase or similar institutions, focusing on client data analytics
• Certification in machine learning (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) or cloud architecture
• Background in natural language processing (NLP) or generative AI applications for client interaction personalization
• Prior leadership in agile development environments, with experience using tools like Jira or Confluence for project management
• Publication record or contributions to open-source projects in data science relevant to finance

Required Skills

• Advanced machine learning and AI model development (e.g., regression, clustering, deep learning)
• Proficiency in Python, R, SQL, and big data tools like Apache Spark and Hadoop
• Cloud computing expertise (AWS, Azure, GCP) for scalable data solutions
• Data visualization and storytelling using tools like Tableau, Power BI, or Matplotlib
• Statistical analysis and predictive modeling techniques tailored to financial data
• Leadership and team management in agile, collaborative environments
• Strong communication skills for presenting complex data insights to non-technical stakeholders
• Knowledge of financial regulations (e.g., FINRA, SEC) and data privacy standards
• Experience with version control (Git) and CI/CD pipelines for model deployment
• Problem-solving and critical thinking in high-stakes financial contexts
• Natural language processing (NLP) for client sentiment analysis
• Feature engineering and handling imbalanced datasets in fraud or risk modeling
• Project management skills for leading data science initiatives
• Ethical AI practices including model interpretability and bias mitigation
• Adaptability to fast-paced, innovative fintech environments

Benefits

• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
• Paid time off including vacation, sick days, and parental leave policies
• Professional development opportunities through JPMorgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and performance-based bonuses tied to firm success
• Wellness programs including gym memberships, mental health support, and onsite fitness facilities
• Flexible work arrangements with hybrid options and remote work support
• Global mobility programs for career advancement across JPMorgan Chase locations

JP Morgan Chase is an equal opportunity employer.