What are the responsibilities and job description for the Senior Associate - Modeling Analytics position at JPMorgan Chase?
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Senior Associate - Modeling Analytics, in the Credit Card Loss Forecasting within the Consumer & Business Banking (CCB) Risk Management group, you will be responsible for leading credit forecasting for the $220B credit card portfolio. This role requires strong data analytical knowledge and skills to generate short- and long-term loss forecasts and perform attribution analysis. The role encompasses all aspects of loss forecasting, including CCAR, CECL, Budgets, and Risk Appetite. This is an exciting opportunity to work on high-impact strategy initiatives as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem-solving, be self-motivated, confident, and ready to work in a fast-paced, energetic environment.
Job responsibilities
- Support analytical tools for risk assessment and stress credit evaluations to support annual stress testing, the Risk Appetite framework, and strategy integrations
- Participate in cross-functional communications with Risk Management, Finance, Marketing, and Collections to inform the forecast and incorporate strategic initiatives
- Partner with the Risk Modeling team to ensure the model functions as desired and provide regular inputs for improvement
- Create and present forecasts to senior management with a clear storyline and data support
- Enhance consistency and efficiency across existing processes and reporting to meet the changing needs of the business
- Be a self-motivated individual with the ability to work on multiple projects with limited guidance
- Spearhead best-in-class documentation and operational risk and audit controls surrounding loss forecasting and LLR
Required qualifications, capabilities, and skills
- Master’s/Bachelor’s degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Engineering) from an accredited college/university required.
- Minimum 1 year of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, and/or Consulting.
- Minimum 3 years of related analytical experience.
- Strong knowledge of Python, SAS, SQL, and MS Office required.
- Strong analytical, interpretive, and problem-solving skills with the ability to interpret large data sets and their impact in both operational and financial areas.
- Excellent oral and written communication and presentation skills.
Preferred qualifications, capabilities, and skills
- Advanced degree is preferred.
- Strong P&L knowledge and understanding of drivers of profitability.
- Knowledge of CCAR (Stress Testing) and CECL process