
Credit Risk Analytics- Consumer ECM - Vice President
- India
- Permanent
- Full-time
- Develop framework for portfolio risk assessment including evaluation of credit and financial performance across varied lending products and industry segments
- Understand applicable credit policies, industry regulations and the requisite impact of those governance items to prospective new partners or product initiatives
- Establish and leverage cross-functional partnerships and network with key internal and external constituencies
- Utilize Statistical Analysis System (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 that include analytics on expected portfolio performance and areas of potential risk and/or opportunity
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
- 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