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Senior management-level position leading credit risk function for unsecured lending at Citi Global Wealth. Responsible for managing all aspects of credit risk within unsecured lending portfolio, driving strategic initiatives, and optimizing risk-reward balance. Requires strong blend of technical expertise in risk analytics, data management, and credit risk concepts, coupled with exceptional leadership and interpersonal skills.
Job Responsibility:
Develop, implement, and continually refine credit risk strategies for unsecured lending products
Utilize advanced risk analytics and loss forecasting techniques to identify emerging trends and assess portfolio performance
Monitor key financial drivers and portfolio metrics to inform decision-making
Collaborate with product, marketing, finance, and operations teams to align risk strategies with business objectives
Lead the development, validation, and implementation of predictive credit risk models, scorecards, and decision engines
Oversee data management practices for credit risk
Lead, mentor, and develop a team of risk analysts and specialists
Build and maintain strong relationships with internal stakeholders across various departments
Lead the end-to-end process of developing new credit strategies
Design and execute champion/challenger tests and other experimental designs
Requirements:
Bachelor's degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Engineering, or Computer Science
Master's degree or MBA preferred
Minimum of 8-10 years of experience in credit risk management within the financial services industry
Significant focus on unsecured lending
Proven experience in a leadership or team management role
Extensive experience in developing, testing, optimizing, and implementing credit strategies
Advanced proficiency in statistical modeling, predictive analytics, machine learning techniques, and quantitative methods for credit risk
Strong understanding of data warehousing, SQL, and experience with large datasets
Deep understanding of credit lifecycle management (origination, account management, collections), PD/LGD/EAD modeling, stress testing, and regulatory requirements
Expertise in analytical tools such as SAS, R, Python, SQL, and data visualization tools
Excellent written and verbal communication skills
Strong influencing and negotiation skills
Nice to have:
Master's degree or MBA
Familiarity with data governance and quality frameworks
Knowledge of regulatory requirements (e.g., Basel, CECL/IFRS 9)
What we offer:
Extensive on-the-job training and exposure to senior leaders
Traditional learning opportunities
Chance to give back and make a positive impact through volunteerism
Resources to meet unique needs
Empowerment to make healthy decisions
Support for managing financial well-being and planning for future
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