Senior Associate - Credit Risk Modeling and Forecasting Analytics

CCB_Risk_Modeling Analytics - Senior Associate

Job Description

The Credit Forecasting team is part of the broader Consumer Credit Risk Management organization.  Our team provides reasonable forecasts of delinquencies, charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite), capacity planning and year-end budget in partnership with P&A, collections, recovery teams by means of various macro-economic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends.

As a professional within the Consumer Credit Forecasting team, you will be responsible for reviewing the model inputs, executing credit loss forecasting models, diagnosing model accuracy, and leading analyses to assess relationships and patterns promoting loss performance of our product portfolio. You will get to spearhead control framework within our function. You will be responsible for execution of the processes through analytical insights, predictive analysis and newer technology applications. You may also be involved in process reengineering efforts to identify, streamline and automate redundant activities. Above all, this role provides an exciting opportunity to develop your skills in a fast-paced environment. 

Job Responsibilities:

• Execute credit loss forecasting models to forecast credit losses and allowance for our product portfolio supporting regulatory exercises like CCAR, CECL, Firmwide Risk Appetite and Budget 
• Determine the loss forecasting results and levers. You will be required to present to senior management and other internal stakeholders.
• Diagnose the Model parameters and liaison with modelling team to propose changes to model for accuracy at granular segments.
• Participate in cross-functional communications with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives.
• Conduct macro sensitivity analytics, loss and allowance attribution, deep dives and storyboarding.
• Lead advanced analyses to assess relationships and patterns driving loss performance.

Required qualifications, capabilities, and skills.

• A bachelor’s or master’s Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. 
• Minimum 6 years of relevant experience in Credit Risk Management, Marketing Analytics and/or Consulting experience
• Strong knowledge of Python, PySpark, SQL and MS Office required.
• Strong P&L knowledge and understanding of drivers of profitability.
• Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
• Excellent oral and written communication and presentation skills

Preferred qualifications, capabilities, and skills

• Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)
• Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Credit Card, Automotive, Business Banking, Wealth Management)
• Working Hours : 1PM to 10PM IST

 

 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Senior Level