Vice President, Credit Risk Analytics – Lending
Citi
SQLUnix
Vice President, Credit Risk Analytics – Strategic Initiatives
Citi
full-time
Posted on:
Origin: • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
SQLUnix
About the role
- Lead activities including credit review, credit approvals and monitoring the portfolio to identify credit migration in coordination with the Risk Management team
- Manage Citi's portfolio exposure to clients and counterparties globally
- Develop framework for portfolio risk assessment including evaluation of credit and financial performance across varied lending products and industry segments
- Understand and apply applicable credit policies, industry regulations and governance impacts to partners or product initiatives
- Establish and leverage cross-functional partnerships and networks with internal and external constituencies
- Utilize SAS in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, forecasting and new program due diligence
- Prepare risk management presentations for senior management including analytics on expected portfolio performance and areas of potential risk and/or opportunity
- Focus on cross-portfolio analytics, develop risk appetite benchmarks, ensure sustainable growth and drive ROTCE integration into decision making
- Operate with limited supervision, act as subject matter expert, and escalate/manage/report 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 using SAS in a UNIX environment
- 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
- Demonstrated quantitative, presentation and analytic skills
- Consistently demonstrate clear and concise written and verbal communication
- Ability to operate with limited supervision, exercise independent judgement, act as SME, and escalate/manage control issues
