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As a professional within the Card Loss Forecasting team, you will be responsible for producing credit card delinquency and loss forecasts by portfolio segments and providing analytical insights to senior management. This role provides an exciting opportunity to develop your skills in a fast-paced environment. Financially, credit card represents the majority of Chase's consumer credit losses. As a result, forecasted credit card losses are a focus of senior leaders, regulators, and investors, as illustrated by the extensive coverage of card losses at Investor Day and quarterly earnings. Job responsibilities: - Analyze & monitor internal & external risks impacting credit cards portfolio - Produce the credit card loss forecast for bank-wide budget, including forecasts for several discrete segments including policy losses, bankruptcy, deceased and recoveries and reversals - Build out, analyze and modify origination vintage and product level forecasts - Analyze and understand loss forecasting quantitative model output - Create PowerPoint and other summarizations for Executive Leadership - Create and run sensitivity scenarios based on economic conditions and management direction - Monitor and present delinquency forecasts to key line of business partners - Create and validate regulatory reporting - Provide insight for senior management via regular risk deep dives Qualifications: - A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Advanced degree preferred - 3 years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience - Strong knowledge of Python, SAS or SQL required - 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 - Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL - Prior experience to automation and dashboard creation - Strong P&L knowledge and understanding of drivers of profitability Essential skills: - Strong knowledge of Python, SAS or SQL required - 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 - Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL - Prior experience to automation and dashboard creation - Strong P&L knowledge and understanding of drivers of profitability Preferred skills: - Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL - Prior experience to automation and dashboard creation - Strong P&L knowledge and understanding of drivers of risk 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. Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Bangalore

JP Morgan Chase - Associate - Modelling Analytics - Card Loss Forecasting Team 

Job Description for JP Morgan Chase - Associate - Modelling Analytics - Card Loss Forecasting Team  in JP Morgan Chase in  Bangalore for (3-6) years of experience. Apply Now!

JP Morgan Chase - Associate - Modelling Analytics - Card Loss Forecasting Team  | iimjobs.com