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Modelling Analytics - Associate

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Modelling Analytics - Associate

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Responsible for producing credit card delinquency and loss forecasts by portfolio segments and providing analytical insights to senior management. Build, analyze and modify origination vintage and product-level forecasts and interpret quantitative model outputs to support bank-wide budgeting and regulatory reporting. Create executive summaries, presentations, and sensitivity scenarios based on economic conditions, and partner with business lines to monitor delinquency forecasts. Use Python, SAS, SQL and MS Office to analyze large datasets and communicate findings to stakeholders.

Location: Bengaluru, Karnataka, India

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

In this role, you'll:

  • 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, SQL and MS Office required
  • Prior experience to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL 
  • 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, written communication and presentation skills
As a professional within the Card Loss Forecasting team, you will be responsible for producing credit card performance & forecasting

Modelling Analytics - Associate

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Modelling Analytics - Associate

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Responsible for producing credit card delinquency and loss forecasts by portfolio segments and providing analytical insights to senior management. Build, analyze and modify origination vintage and product-level forecasts and interpret quantitative model outputs to support bank-wide budgeting and regulatory reporting. Create executive summaries, presentations, and sensitivity scenarios based on economic conditions, and partner with business lines to monitor delinquency forecasts. Use Python, SAS, SQL and MS Office to analyze large datasets and communicate findings to stakeholders.

Location: Bengaluru, Karnataka, India

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

In this role, you'll:

  • 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, SQL and MS Office required
  • Prior experience to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL 
  • 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, written communication and presentation skills
As a professional within the Card Loss Forecasting team, you will be responsible for producing credit card performance & forecasting