Quant Analytics Senior Associate

Location: Wilmington, DE, United States

Job Family: Quant Analytics

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. As a Quant Analytics Senior Associate in the Quantitative Data & Analytics team within the Consumer and Community Banking (CCB) Data & Analytics organization, you will play a pivotal role in leveraging data to drive strategic decisions in consumer banking. Based in Wilmington, DE, this position involves applying advanced quantitative techniques to analyze vast datasets from deposit accounts, credit cards, mortgages, and auto loans, helping to enhance customer experiences, mitigate risks, and support financial inclusion initiatives. You will contribute to JPMorgan Chase's commitment to innovation in a highly regulated environment, ensuring all analytics align with firm-wide standards for data governance and ethical AI use. In this role, you will develop sophisticated models to predict customer behaviors, optimize fraud detection systems, and inform personalized marketing campaigns. Collaborating closely with cross-functional teams, including data scientists, engineers, and business leaders, you will translate complex data insights into actionable strategies that support CCB's goals of sustainable growth and customer-centric solutions. Responsibilities include building scalable analytics pipelines, validating models against regulatory benchmarks like those from the Federal Reserve, and presenting findings to executive stakeholders to influence product roadmaps and risk management practices. JPMorgan Chase values a diverse and inclusive workplace, offering opportunities for professional growth through mentorship, training, and exposure to cutting-edge fintech projects. This senior associate position is ideal for a quantitative expert passionate about the intersection of data science and finance, with the chance to impact millions of customers while advancing your career in one of the world's most respected financial institutions. Join us in Wilmington, DE, to help shape the future of consumer banking through data-driven excellence.

Key Responsibilities

• Develop and implement advanced quantitative models for consumer banking data analytics, focusing on customer behavior, credit risk, and fraud detection
• Analyze large-scale datasets from JPMorgan Chase's Consumer and Community Banking division to derive actionable insights
• Collaborate with data engineers, product managers, and business stakeholders to design and deploy analytics solutions
• Perform statistical analysis and machine learning to optimize marketing strategies and personalize customer experiences
• Ensure model accuracy, validation, and compliance with internal governance and regulatory standards
• Build dashboards and visualizations using tools like Tableau or Power BI to communicate findings to senior leadership
• Conduct A/B testing and experimental design to measure the impact of data-driven initiatives
• Stay abreast of emerging trends in quantitative finance and integrate innovative techniques into team workflows
• Mentor junior analysts and contribute to the development of best practices in data analytics
• Support ad-hoc analytical projects related to community banking initiatives and financial inclusion

Required Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) strongly preferred
• 3-5 years of experience in quantitative analytics, data modeling, or financial services data analysis
• Proficiency in statistical modeling and machine learning techniques applied to financial datasets
• Strong programming skills in Python, R, or SQL for data manipulation and analysis
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Knowledge of regulatory requirements in consumer banking, including data privacy and compliance standards
• Ability to work collaboratively in a fast-paced, cross-functional team environment

Preferred Qualifications

• Advanced experience in consumer banking analytics or credit risk modeling at a major financial institution
• Familiarity with JPMorgan Chase's internal data platforms and tools
• Publications or contributions to open-source projects in quantitative finance
• Experience with AI/ML frameworks like TensorFlow or PyTorch for predictive analytics
• CFA, FRM, or similar professional certification in finance or risk management

Required Skills

• Quantitative modeling and statistical analysis
• Machine learning algorithms (e.g., regression, clustering, neural networks)
• Programming in Python, R, and SQL
• Big data processing with Spark or Hadoop
• Data visualization tools like Tableau or Power BI
• Financial risk assessment and credit scoring
• Regulatory compliance in banking (e.g., CCAR, Basel III)
• Problem-solving and critical thinking
• Communication and stakeholder management
• Team collaboration and leadership
• Experimental design and A/B testing
• Cloud computing (AWS, Azure)
• Time management in fast-paced environments
• Attention to detail in data validation
• Adaptability to emerging technologies in fintech

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 Chase's learning platforms
• Employee stock purchase plan and other financial wellness benefits
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements, including hybrid options in Wilmington, DE

JP Morgan Chase is an equal opportunity employer.