Lead Data Scientist - Finance Technology

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through cutting-edge technology. As a Lead Data Scientist in our Finance Technology team, you will play a pivotal role in driving AI and ML innovations that enhance our finance processes and organizational efficiency. Based in Jersey City, NJ, this position within the Predictive Science category offers the opportunity to lead high-impact projects that leverage advanced analytics to solve complex challenges in areas such as risk management, regulatory compliance, and financial forecasting. You will work closely with cross-functional teams to deploy scalable AI solutions that deliver measurable business value, all while upholding JP Morgan's commitment to ethical AI practices and data security. In this leadership role, you will spearhead the end-to-end lifecycle of data science initiatives, from data exploration and model prototyping to production deployment and ongoing optimization. Your expertise will be crucial in developing predictive models that inform strategic decisions, such as optimizing capital allocation or detecting anomalies in transaction data. Collaborating with finance experts and technology architects, you will ensure that AI innovations align with JPMorgan's global standards and regulatory requirements, including those from the SEC and Federal Reserve. This position demands a blend of technical prowess and business acumen to translate sophisticated algorithms into practical tools that empower our teams to navigate the dynamic landscape of global finance. Joining JP Morgan Chase means becoming part of a world-class organization renowned for its innovation and stability. We offer unparalleled resources for professional growth, including access to state-of-the-art tools and mentorship from industry leaders. If you are passionate about applying AI to revolutionize finance and thrive in a collaborative, fast-paced environment, this role provides the platform to make a lasting impact on one of the world's leading financial institutions.

Key Responsibilities

• Lead the development and implementation of AI/ML models to optimize finance processes, including forecasting, risk assessment, and fraud detection
• Collaborate with Finance Technology teams to identify opportunities for AI-driven innovations in areas like regulatory reporting and capital management
• Design and execute experiments to validate predictive models, ensuring scalability and performance in production environments
• Mentor junior data scientists and foster a culture of innovation within the Predictive Science team
• Analyze complex financial datasets to derive actionable insights that support strategic decision-making at JP Morgan Chase
• Integrate AI solutions with existing JPMorgan systems, adhering to data privacy and compliance standards such as GDPR and Basel III
• Stay abreast of emerging AI trends and technologies to drive continuous improvement in finance operations
• Present findings and recommendations to senior leadership, translating technical concepts into business value
• Oversee model governance, including monitoring, retraining, and auditing to maintain model accuracy and reliability

Required Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of experience in data science roles, with a focus on AI/ML applications in financial services
• Proven track record of leading data science projects from ideation to production deployment
• Strong proficiency in Python, R, or similar programming languages for data analysis and modeling
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Deep understanding of financial data, risk modeling, and regulatory compliance in banking
• Ability to collaborate with cross-functional teams including finance, technology, and business stakeholders

Preferred Qualifications

• Experience working at a major financial institution like JP Morgan Chase
• Publications or contributions to open-source AI/ML projects in finance
• Knowledge of big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Familiarity with JPMorgan's internal tools and finance technology stack
• Advanced certifications in AI/ML, such as from Coursera or AWS

Required Skills

• Machine Learning and AI model development
• Python programming and data manipulation libraries (Pandas, NumPy)
• Statistical analysis and predictive modeling
• Financial domain knowledge (e.g., risk, compliance, forecasting)
• Big data processing with Spark or Hadoop
• Cloud computing platforms (AWS, GCP)
• SQL and database querying
• Data visualization tools (Tableau, Matplotlib)
• Leadership and team management
• Problem-solving and analytical thinking
• Communication and stakeholder engagement
• Agile methodologies and project management
• Version control with Git
• Model deployment and MLOps practices
• 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, including tuition reimbursement and access to JPMorgan's learning platforms
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers and wellness initiatives at Jersey City location
• Flexible work arrangements, including hybrid options post-pandemic

JP Morgan Chase is an equal opportunity employer.