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Senior Analyst - Modeling Analytics

Req #: 170074825
Location: Bangalore East, KA, IN
Job Category: Credit
Potential Referral Amount: 0 Indian Rupee (INR)

J.P. Morgan is a leading global financial services firm, established over 200 years ago: .

  • We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.
  • We have assets of $2.5 trillion and operations worldwide
  • We operate in more than 100 markets.
  • We have more than 243,000 employees globally

 

Our wholesale businesses include J.P. Morgan’s Asset Management, Commercial Banking and the Corporate & Investment Bank which provide products and services to corporations, governments, municipalities, non-profits, institutions, financial intermediaries and high-net worth individuals and families.

Our corporate functions support the entire organization and include the following functions: Accounting, Audit, Finance, Human Resources, Operations, and Technology.

 

J.P. Morgan in India provides a comprehensive range of Corporate & Investment Banking, Commercial Banking, Asset & Wealth Management, and Corporate functions services and solutions to our clients, executing some of the most important financial transactions and providing essential strategic advice to our clients such as the government, large domestic and multi-national corporations, non-government organizations and financial institutions and investors. India is a key market for JPMorgan Chase globally and our employees in India are a critical part of how we do business globally and are integrated within our businesses. Our Global Service Centers (GSCs) are strategically positioned in Mumbai, Bangalore and Hyderabad to support the firm’s operations regionally and globally. The centers provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.

 

Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees.  Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate the impact of risk events that do occur.

 

This is an exciting opportunity for an individual who thrives in a fast-paced and team-oriented environment where strong analytical skills, business acumen, and superior communication skills are leveraged. All the aforementioned skills would be put to test while supporting firm’s ability to accurately forecast credit losses, identifying early signs of credit risks and independently evaluating the performance of forecasting models.

 

Within Consumer Credit Forecasting is the Wholesale Forecasting team which includes Business Banking and Dealer Commercial Services portfolios.  Our team is accountable for providing reasonable forecasts of delinquencies, losses and loan loss reserves throughout the year for various purposes like regulatory stress tests (CCAR, ICAAP and quarterly Risk appetite), loss budget for P&A, collections staffing plans etc. The team is also responsible for defining Risk Appetite limits, monitoring the health of the portfolio and updating the business on any concerning trends.

 

As part of the Wholesale Loss Forecasting team, you will be reporting to the Wholesale Lead in India and will be responsible for providing oversight and driving production of the Credit Loss Forecast and Risk Appetite for JP Morgan Chase Business Banking & DCS portfolios. Team also provides support to the business with regular credit monitoring, reporting activities, developing insights and participating in forecast reviews. Process improvements and controls to ensure the accuracy and effectiveness of deliverables are continuous focus for the team.  In this highly visible role, the successful candidate will actively help determine the loss forecasting results and drivers.  This information will be presented to executive management and other internal clients.

 

Responsibilities include:

  • Work with a high-performing team that leads advanced analyses to assess relationships and patterns driving loss performance and assess performance of existing models.
  • Understand the functioning of forecasting models and be able to challenge the model by conducting independent model assessment. Coordinate closely with model development teams to provide business perspective and insights.
  • Understand how inputs and outputs are generated and ability to modify inputs and output for what if scenario or regression testing of the models.
  • Review MIS to understand trends and potential portfolio / process issues
  • Perform analytical deep-dives to understand the health of the portfolio and identify early warning risk indicators
  • Synthesize large volumes of data into actionable insights to influence business strategies for the Chase CCB Wholesale products
  • Expected to consistently produce and present results that are accurate and on-time.

  • Expected to work on moderate to complex projects with limited guidance

 

The work schedule is Monday - Wednesday, 1 PM - 10 PM IST and Thursday - Friday, 11:30 AM – 8:30 PM IST 

  • Master's degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required
  • 2+ years of related analytical experience
  • Deep credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking)
  • Strong analytical, technical and statistical skills.  Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions.
  • Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals. 
  • 2+ years of SAS programming experience (PC, UNIX or mainframe).
  • Highly proficient in Microsoft Office suite of products.

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