Vice President, Credit Risk Analytics – Strategic Initiatives
Citi
SQLUnix
Vice President, Credit Risk Analytics – Lending
Citi
full-time
Posted on:
Origin: • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
SQLUnix
About the role
- Lead credit review, credit approvals and monitor portfolio to identify credit migration in coordination with Risk Management
- Manage Citi's portfolio exposure to clients and counterparties globally
- Develop framework for portfolio risk assessment including evaluation of credit and financial performance across lending products and industries
- Understand applicable credit policies, industry regulations and assess impact to partners or product initiatives
- Establish and leverage cross-functional partnerships and network with internal and external constituencies
- Utilize SAS in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, forecasting and program due diligence
- Prepare risk management presentations for senior management with analytics on expected portfolio performance and areas of potential risk and opportunity
- Operate with limited supervision, exercise judgment, act as SME to senior stakeholders, assess risk and ensure compliance; escalate control issues with transparency
Requirements
- 10+ years of experience in credit card risk management or equivalent training and experience preferably in the financial services industry
- Proven ability to apply credit and risk principles toward business goals
- Demonstrated ability to synthesize and prioritize
- Proven ability to remain organized in a fast-paced environment
- Demonstrated interpersonal, organizational and analytic skills
- Bachelor's degree/University degree or equivalent experience (Master's degree preferred)
- 10+ years of experience with analytical or data manipulation tools (e.g., SAS, SQL, R, SPSS)
- Experience with econometric and statistical modeling or application risk scoring
- Experience in big data with knowledge of probabilities/distributions, building decision trees and regression models
- Proficiency in MS Office
- Proven ability to derive patterns, trends and insights, perform risk/reward trade-off analyses and connect these analytics to business impacts
- Demonstrated quantitative, presentation and analytic skills
- Consistently demonstrate clear and concise written and verbal communication
