CCB Risk - Strategic Risk Analytics (SWAT) - Associate

Role Overview: You will work in a cross-functional team in an agile environment to understand and address key business challenges and ensure flawless execution of credit risk strategies and related activities. Your main responsibilities will include developing, communicating, and implementing optimal solutions for risk strategies, providing expertise on coding for strategy development, reporting, automation, or implementation/testing, and identifying key risk indicators and metrics to better manage the risk of the portfolio. Key Responsibilities: - Work in a cross-functional team to address key business challenges and ensure flawless execution of credit risk strategies - Develop, communicate, and implement optimal solutions for risk strategies - Provide expertise on coding for strategy development, reporting, automation, or implementation/testing - Identify key risk indicators and metrics to better manage the risk of the portfolio Qualifications: - 3 years of experience in analytics, preferably in Credit Risk Consumer Lending Business - Masters or Bachelor's degree, ideally in an economics, business, or mathematics-based subject - Advanced understanding of SAS, SAS Enterprise Miner, Python, and/or other decision tree software - Ability to query large amounts of data and transform raw data into actionable management information - Good understanding of Statistical Modeling Concepts & Techniques - Good written and oral communication skills to clearly present analytical findings and make business recommendations using Microsoft Word, Excel, and PowerPoint Role Overview: You will work in a cross-functional team in an agile environment to understand and address key business challenges and ensure flawless execution of credit risk strategies and related activities. Your main responsibilities will include developing, communicating, and implementing optimal solutions for risk strategies, providing expertise on coding for strategy development, reporting, automation, or implementation/testing, and identifying key risk indicators and metrics to better manage the risk of the portfolio. Key Responsibilities: - Work in a cross-functional team to address key business challenges and ensure flawless execution of credit risk strategies - Develop, communicate, and implement optimal solutions for risk strategies - Provide expertise on coding for strategy development, reporting, automation, or implementation/testing - Identify key risk indicators and metrics to better manage the risk of the portfolio Qualifications: - 3 years of experience in analytics, preferably in Credit Risk Consumer Lending Business - Masters or Bachelor's degree, ideally in an economics, business, or mathematics-based subject - Advanced understanding of SAS, SAS Enterprise Miner, Python, and/or other decision tree software - Ability to query large amounts of data and transform raw data into actionable management information - Good understanding of Statistical Modeling Concepts & Techniques - Good written and oral communication skills to clearly present analytical findings and make business recommendations using Microsoft Word, Excel, and PowerPoint