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Develop application approval and risk segmentation strategies for various segments
build business cases to enhance risk management, customers experience and contribute to sustainable and profitable business growth
Conduct comprehensive analyses to assure timely monitoring of strategy efficacy and accuracy, minimizing credit/operating losses and reputation/compliance risk exposure
Partner closely with product/marketing, system & technology, finance, compliance and other Card business areas to develop risk criteria and propose new strategies
Collaborate with various credit, deposit and product groups and external vendors to develop effective ways to manage new account decisions, leveraging best practices and new data/tools
Prioritize tasks based on importance and urgency and provide business case development to obtain timely approval
Manage the rollout of pilot programs and criteria changes that present risk
Create and share monitoring reporting and diagnostics on various credit, vintage, product, offer, channel, mix, delinquency, loss rate, usage/revenue and profitability performance information informing risk strategy decisions
Prepare and present project summary and insights to senior managers to get support and approval
Requirements
Master's degree in Statistics, Mathematics, Economics, or a related quantitative field
2 years of experience in the job offered or related credit risk role
Two (2) years of Credit Risk, Quantitative Analytics, Data Science or equivalent experience
Hands on experience in business analytics and recommendations
Experience in SAS and SQL data processing
Knowledge and understanding of statistical analysis
Experience in analyzing data from multiple large data sources to develop and implement business strategies