Risk Policy Sr Group Manager - C15 (Hybrid)

The Regulatory Risk Sr Grp Manager is part of a senior oversight team known as Independent Risk Model Oversight (IRMO) providing critical review and challenge of CCAR & CECL loss forecasting and stress testing models for Citis consumer lending business. We are looking for an executive-level modeler to join the team who can help continue our mission. This role will entail defining how we should approach modeling losses for CCAR & CECL for our consumer portfolios based on industry best practice and regulatory guidance. This role will provide risk oversight across all secured and unsecured products globally. The role requires frequent contact and interaction with model sponsors and development teams, Model Risk Management, and CCAR & CECL planning and governance units. The role requires a unique perspective on the management of consumer products in particular, and risk management at Citi in general that spans all risk types (that includes lending, operational, market, compliance, regulatory, and reputational).
Responsibilities:
Comprehensive understanding of industry best practice and regulatory expectations on model development. Full understanding of SR 11-7 and SR 15-8, and abreast with the latest CCAR guidelines and expectations.
• Extensive understanding of secured (esp. mortgages) and unsecured (cards, installment loans) products-structures, industry mechanics, risks, analytical tools.
• Extensive experience with industry best practice modeling techniques and demonstrable skills in rapid development, prototyping, benchmarking, and empirical analysis.
• Perform or direct research to challenge, support, or improve modeling approaches. Prototype or guide development of benchmark or confirming models
• Review and dissect forecasts and their drivers
• Analyzes the impact of changes in macroeconomic indicators on portfolio/business performance. Proficient in scenario analysis.
• Direct experience in managing secured & unsecured products through crises/economic cycles
• Proficient in using MIS to manage risk.
• Experienced negotiator (internally and externally). Well-developed influencing skills.
• Regularly communicates and ensures key messages are cascaded throughout the organization.
Qualifications:

• Experienced risk management professional with at least 10+ years in the Financial Services industry covering secured and unsecured portfolios.
• Extensive experience in performing and leading quantitative analysis, statistical modeling including machine learning methods, loss forecasting, loan loss reserve modeling, Basel and econometric modeling of consumer credit risk. Has had an active leadership role in successfully executing the analytical components of an econometric modeling-driven stress loss process.
• Advanced statistical modeling skills using SAS or other software. Proficient with data analysis and model coding using SAS, SQL, Python, C or other languages.
• Proven ability to lead and accomplish through both influence and oversight organizational constructs.
• Experience in delivering technical presentations to and managing examinations and ongoing relationships with external regulators (e.g., FRB, OCC, FDIC) and internal audit functions.
• Excellent written and verbal communication skills with significant presentation assembly for and delivery to senior and executive level audiences.
• Candidates who have performed comparable functions to those listed above for significant, complex financial institutions at a consulting company, vendor, or service provider would be strongly considered as well.
• Exposure to climate risk modeling, especially identifying additional risks beyond traditional credit that drive consumer behavior would be very beneficial.
• Demonstrated strong leadership experience, especially in transitioning or challenged environments, including strong facilitation skills.

Education:

• Advanced Degree (Bachelors Degree Required, Masters Degree Preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Engineering, or other highly technical quantitative discipline

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.