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Chase · 1 month ago

Associate - Modeling Analytics

201 N Walnut St, Wilmington, DE, 19801, US

Full-time

Onsite

Mid Level

3+ years exp

JPMorgan Chase is a leading financial services firm, and they are seeking an Associate in Modeling Analytics within the Risk Management and Compliance department. This role involves leading credit forecasting for the credit card portfolio, utilizing strong data analytical skills to generate loss forecasts and perform attribution analysis.

BankingFinancial Services

Responsibilities

Support analytical tools for risk assessment and stress credit evaluations to support annual stress testing, the Risk Appetite framework, and strategy integrations

Participate in cross-functional communications with Risk Management, Finance, Marketing, and Collections to inform the forecast and incorporate strategic initiatives

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

Spearhead best-in-class documentation and operational risk and audit controls surrounding loss forecasting and LLR

Qualification

Credit Risk ManagementStatistical ModelingPythonSQLSASMarketing AnalyticsAnalytical SkillsMS OfficeP&L KnowledgeCCAR KnowledgeCECL KnowledgeCommunication SkillsProblem-Solving SkillsPresentation Skills

Required

Master's/Bachelor's degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Engineering) from an accredited college/university required

Minimum 1 year of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, and/or Consulting

Minimum 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