Vice President, Data Scientist Lead

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging data science to power innovative financial solutions that serve millions of clients worldwide. As a Vice President, Data Scientist Lead in our Predictive Science team, you will play a pivotal role in the Corporate & Investment Bank, driving the development of advanced analytics and machine learning models to mitigate risks, detect fraud, and optimize trading strategies. Based in our state-of-the-art New York office, you will lead a high-performing team of data scientists, collaborating with cross-functional partners in engineering, risk management, and business lines to translate complex financial data into actionable insights. This position offers the opportunity to influence strategic decisions at one of the world's largest financial institutions, where your expertise will contribute to sustainable growth and client trust in an ever-evolving regulatory landscape. Your leadership will focus on architecting end-to-end data science solutions, from data ingestion and preprocessing to model deployment and monitoring. You will spearhead initiatives using cutting-edge techniques like deep learning for anomaly detection in transaction data and ensemble models for credit risk prediction, ensuring all outputs adhere to JP Morgan's rigorous standards for model governance and explainability. By fostering innovation within the team, you will explore emerging technologies such as generative AI to enhance predictive capabilities, while navigating the unique challenges of the financial services industry, including high-volume real-time data processing and compliance with frameworks like SR 11-7. This role demands a blend of technical depth and business acumen to deliver measurable impact on key metrics such as reduced false positives in fraud alerts and improved portfolio performance. Joining JP Morgan Chase means becoming part of a global community committed to excellence and inclusion. We value diverse perspectives and provide robust support for professional growth, including access to world-class resources and mentorship from industry leaders. In this leadership position, you will not only advance your career but also shape the future of data-driven finance, contributing to initiatives that empower clients and communities. If you are passionate about using data science to solve real-world financial challenges, we invite you to bring your expertise to our dynamic team in New York.

Key Responsibilities

• Lead a team of data scientists in developing and deploying predictive models for risk assessment, fraud detection, and customer analytics within JP Morgan Chase's Corporate & Investment Bank
• Design and implement machine learning pipelines to analyze large-scale financial datasets, ensuring scalability and performance in production environments
• Collaborate with business stakeholders to identify data-driven opportunities that enhance decision-making and drive revenue growth
• Oversee model validation, testing, and governance processes to comply with internal policies and regulatory standards such as Basel III
• Mentor junior data scientists, fostering a culture of innovation and continuous learning in predictive science
• Integrate advanced AI techniques, including deep learning and ensemble methods, to solve complex problems in credit risk and market forecasting
• Communicate insights and model outcomes to senior executives through visualizations and executive summaries
• Stay abreast of emerging technologies and industry trends to recommend improvements in data infrastructure
• Manage project timelines, budgets, and resources for data science initiatives aligned with JP Morgan's strategic goals
• Ensure ethical AI practices by addressing biases in models and promoting transparency in algorithmic decisions

Required Qualifications

• Master's or PhD degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
• 8+ years of experience in data science, machine learning, or predictive modeling within the financial services industry
• Proven track record of leading data science teams and delivering production-ready models in a high-stakes environment
• Strong proficiency in Python, R, or similar programming languages for data analysis and model development
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Deep knowledge of statistical methods, machine learning algorithms, and data mining techniques
• Familiarity with regulatory requirements in finance, including data privacy laws like GDPR and CCPA

Preferred Qualifications

• Experience in fraud detection, risk modeling, or algorithmic trading at a major financial institution
• Advanced certifications in machine learning (e.g., from Coursera or AWS) or domain-specific finance credentials
• Prior leadership in cross-functional projects involving engineering, product, and compliance teams
• Publications or contributions to open-source projects in data science or AI
• Hands-on experience with natural language processing (NLP) or time-series forecasting in financial datasets

Required Skills

• Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Statistical analysis and hypothesis testing
• Big data processing with SQL, Spark, and Hadoop
• Python or R programming expertise
• Data visualization tools (e.g., Tableau, Matplotlib)
• Leadership and team management
• Problem-solving in ambiguous environments
• Communication and stakeholder engagement
• Financial modeling and risk assessment
• Cloud computing (AWS, GCP, or Azure)
• Version control with Git
• Agile methodologies and project management
• Natural language processing (NLP)
• Time-series analysis
• Ethical AI and bias mitigation

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 through JP Morgan's internal training programs and tuition reimbursement
• 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.