Strategic Analytics Associate

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of financial innovation, and our Cards business is a cornerstone of our consumer banking division, serving millions of customers with secure and rewarding credit solutions. As a Strategic Analytics Associate in the Risk Analytics/Modeling team, you will play a pivotal role in driving impactful analytics to support resilient growth and effective risk management. Based in our Wilmington, DE hub, you will leverage data to uncover insights that enhance decision-making, mitigate risks, and foster sustainable expansion in a dynamic regulatory environment. This position offers the opportunity to contribute to high-stakes projects that directly influence the profitability and customer experience in one of the world's largest credit card portfolios. Your day-to-day responsibilities will involve developing sophisticated models for credit risk evaluation, fraud detection, and portfolio optimization, using advanced tools like Python, SQL, and machine learning frameworks. You will collaborate with diverse teams across risk, product development, and technology to translate complex data into actionable strategies, ensuring alignment with JPMorgan Chase's commitment to ethical banking and regulatory compliance, including standards like Dodd-Frank and Basel accords. Through rigorous analysis of customer behavior and market trends, you will help safeguard the Cards business against emerging threats while identifying opportunities for growth in a competitive financial services landscape. We value associates who bring analytical rigor and a passion for innovation to the table. In this role, you will not only refine your technical expertise but also gain exposure to senior leadership and strategic initiatives that shape the future of consumer finance at JPMorgan Chase. Join us to make a meaningful impact on a global scale, supported by a culture of inclusion, continuous learning, and unparalleled resources for professional growth.

Key Responsibilities

• Develop and maintain advanced analytics models to assess credit risk and support decision-making in the Cards business
• Analyze customer data to identify trends, mitigate risks, and drive resilient growth strategies
• Collaborate with cross-functional teams including risk, product, and technology to implement data-driven solutions
• Perform ad-hoc analyses on portfolio performance, fraud detection, and customer behavior
• Validate and monitor risk models to ensure compliance with internal policies and regulatory standards
• Create dashboards and reports using tools like Tableau or Power BI to communicate insights to leadership
• Support strategic initiatives by providing quantitative analysis on market trends and competitive landscapes
• Contribute to the development of machine learning algorithms for predictive analytics in consumer lending
• Assist in stress testing and scenario analysis for the Cards portfolio
• Stay abreast of industry best practices and emerging technologies in financial analytics

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field
• 2-4 years of experience in analytics, risk management, or data modeling within the financial services industry
• Proficiency in SQL, Python, or R for data analysis and manipulation
• Strong understanding of credit risk, fraud analytics, or consumer lending in the cards business
• Experience with statistical modeling and data visualization tools
• Ability to work with large datasets and derive actionable insights
• Excellent communication skills to present findings to senior stakeholders

Preferred Qualifications

• Master's degree in a quantitative discipline or MBA with a focus on finance
• Experience in the consumer banking or credit card sector at a major financial institution
• Familiarity with regulatory requirements such as Basel III or CCAR for risk modeling
• Certification in data analytics (e.g., CFA, FRM) or machine learning
• Prior internship or role at JPMorgan Chase or similar firm

Required Skills

• SQL and database querying
• Python or R programming for analytics
• Statistical modeling and regression analysis
• Data visualization with Tableau or Power BI
• Machine learning fundamentals
• Credit risk assessment
• Financial modeling and forecasting
• Problem-solving and critical thinking
• Stakeholder communication and presentation
• Attention to detail and accuracy
• Time management in fast-paced environments
• Team collaboration and cross-functional partnership
• Knowledge of regulatory compliance in finance
• Big data handling with Hadoop or Spark
• Excel advanced functions and VBA

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and performance-based bonuses
• Wellness programs including gym memberships and mental health support
• Flexible work arrangements and hybrid options in Wilmington, DE
• Access to JPMorgan Chase's global mobility and career advancement opportunities

JP Morgan Chase is an equal opportunity employer.