Associate - Modeling Analytics

Location: Wilmington, DE, United States

Job Family: Risk Analytics/Modeling

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services, and our Consumer & Community Banking division plays a pivotal role in delivering innovative credit solutions to millions of customers. As an Associate in the Loss Forecast Analytics team within the Risk Analytics/Modeling category, you will be instrumental in providing oversight and driving the production of credit loss forecasts and loan loss reserves for all Chase credit cards. Based in our Wilmington, DE office, this role offers the opportunity to contribute to a dynamic team that safeguards the bank's portfolio against economic uncertainties while ensuring compliance with stringent regulatory standards like CECL. You will leverage advanced analytics to model potential losses, analyze consumer credit behaviors, and support strategic decision-making that impacts one of the largest credit card portfolios in the industry. In this position, you will collaborate closely with risk managers, data scientists, and business leaders to develop robust forecasting models using statistical techniques and economic indicators. Your work will involve monitoring key metrics such as delinquency rates, default probabilities, and recovery rates, while incorporating macroeconomic factors to produce accurate projections. Responsibilities extend to validating model outputs, participating in stress testing scenarios, and presenting insights to executive stakeholders, ensuring that Chase's credit operations remain resilient and forward-looking. This role demands a blend of technical expertise and business acumen to navigate the complexities of the financial services landscape. JPMorgan Chase values innovation, integrity, and inclusion, offering a supportive environment where your contributions can shape the bank's risk management practices. Joining our team means access to cutting-edge tools, continuous learning opportunities, and the chance to grow within a global leader in finance. If you are passionate about quantitative analysis and eager to make an impact on consumer banking, this Associate role in Loss Forecast Analytics is an ideal platform to advance your career.

Key Responsibilities

• Develop and maintain statistical models for credit loss forecasting and loan loss reserve calculations for Chase credit cards
• Provide analytical oversight on the production of monthly and quarterly loss forecasts, ensuring accuracy and compliance
• Collaborate with model validation teams to review and enhance forecasting methodologies
• Analyze portfolio performance data to identify trends in credit risk and delinquency rates
• Support regulatory reporting and stress testing exercises under Basel III and CECL frameworks
• Communicate forecast results and insights to senior management and risk committees
• Drive process improvements in analytics workflows to enhance efficiency and model robustness
• Monitor economic indicators and their impact on credit card loss projections
• Assist in ad-hoc analyses for business decisions related to credit policy and portfolio management

Required Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field
• 3-5 years of experience in credit risk modeling, analytics, or forecasting within the financial services industry
• Proficiency in statistical modeling techniques and credit loss forecasting methodologies
• Strong understanding of regulatory requirements such as CECL (Current Expected Credit Loss) for loan loss reserves
• Experience with large datasets and data manipulation in a banking or credit card environment
• Ability to work collaboratively in a team-oriented setting with cross-functional stakeholders

Preferred Qualifications

• Master's degree or MBA in Finance, Risk Management, or a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase in credit analytics
• Knowledge of Chase's credit card portfolio and consumer lending practices
• Certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst)

Required Skills

• Advanced proficiency in SAS, R, or Python for statistical modeling and data analysis
• Expertise in SQL for querying large financial databases
• Strong knowledge of econometric modeling and time-series analysis
• Experience with machine learning techniques applied to credit risk
• Proficiency in Excel and visualization tools like Tableau or Power BI
• Deep understanding of credit scoring, PD/LGD/EAD models
• Analytical problem-solving and attention to detail
• Effective communication skills for presenting complex data to non-technical audiences
• Project management abilities to handle multiple deliverables
• Regulatory knowledge in financial risk and compliance
• Team collaboration and stakeholder management
• Adaptability to fast-paced environments in banking
• Quantitative aptitude for handling large-scale data sets
• Critical thinking for model validation and scenario analysis

Benefits

• Competitive base salary and performance-based annual bonuses
• 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 opportunities through JPMorgan Chase's internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Wilmington facilities
• Flexible work arrangements, including hybrid options for eligible roles

JP Morgan Chase is an equal opportunity employer.