Join our dynamic team as a Risk Modeling Senior Associate, where you’ll play a pivotal role in shaping the future of risk management through advanced analytics and innovative modeling techniques. Leverage your expertise to drive impactful solutions that help our organization navigate complex financial landscapes and deliver value to our clients.

As a Modeling Analytics – Senior Associate in the Business Banking Loss Forecasting within the Consumer & Business Banking (CBB) Risk Management group, you will be responsible for leading credit forecasting for the $20B business banking 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 CECL, Budgets, and stress tests. 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 the end-to-end completion of quarterly CECL and monthly BD 2 reporting.
• Support analytical tools for risk assessment and credit evaluations to support CECL, BD2 reporting, and strategy integrations.
• Collaborate with the central loss forecasting team to manage process timelines and provide necessary information.
• Work with Finance, Collections, and Risk Strategy to understand changes in the portfolio or strategies and apply overlays as needed.
• 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.

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.
• 1+ years of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, and/or Consulting.
• 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.