Vice President – Credit Risk Analytics, Lending
Citi
full-time
Posted on:
Location Type: Hybrid
Location: Gurgaon • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
SQL
About the role
- Maintain compliance with Citibank credit policies/practices, regulatory policies and prepare, update, and ensure approval of all internal policy and procedure changes, keeping proper change and approval logs
- Conduct managerial responsibilities, including coaching/mentoring, performance management and evaluation (including managing the Review the Reviewer process), work assignment management and resource/capacity management, monitoring and escalating as needed
- Continuously identify process improvements and efficiencies to support business unit goals through dissecting issues and making recommendations
- Monitor daily queue dashboard and production reports and address production and/or pipeline management issues, serving as a an escalation point of contact for these and SLA related issues with the goal of enhancing customer experience
- Conduct analyses related to policy (e.g., benefits tracking), bureau and alternate credit information, risk and reward trade-off, etc. by leveraging data and creating ad-hoc analyses/management information systems (MIS)
- Identify business opportunities, develop credit tests and risk strategies, balancing risk and return, and work with cross-functional teams to ensure flawless execution of policy tests and strategies
- 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Requirements
- 6-10 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
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SASSQLRSPSSeconometric modelingstatistical modelingrisk scoringbig datadecision treesregression models
Soft skills
coachingmentoringperformance managementanalytical skillspresentation skillscommunication skillsproblem-solvingprocess improvementresource managementaccountability