VP Recovery & Resolution Planning (RRP) Model Development and Governance

Our client operates in the Financial sector, with its headquarters rooted strongly in the United States. It has its branches spread to more than 160 countries, providing employment to more than 200k people all over the world. They fall in the Top 15 largest Banks in the United States. Its core business is to provide various Banking and Financial services to its clients. It is known to have one of the biggest balance sheet banks in the world (among others) aiding it to offer 360-degree financial services to its clients.

Responsibilities:

• Development of statistical or non-statistical forecasting models for key Balance sheet and income statement line items for RRP purposes
• Steering stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their signoffs on Champion models
• Understanding of forecasts, processes and approaches used in CCAR, Liquidity Risk Management, and Interest Rate Risk Management
• Manage the Segmentation, Risk Identification, overlay discussions with stakeholder teams
• Responsible for reviewing and timely submission of Model development documentation (MDDTs) to Model Risk Management
• Align with Model Risk Management on modeling and validation practices and have periodic check-ins with them
• Create a culture of accountability and strict quality control of the data integrity and modeling process
• Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation; a critical activity in reducing the model operating risk
• Ability to build key relationships with stakeholder teams
• Must be able to present technical matters in a way that is meaningful to the audience
• Ability to influence people and empower team members to be proactive and focused on partnerships and results

Requirements:

Basic Qualifications:

• At least 4 years of experience in financial services company
• Bachelor’s degree in a quantitative-focused discipline
• At least 2 years of experience using VBA, Python, R, OR SQL programming languages

Preferred Qualifications:

• At least 6 years of experience within treasury for a financial company
• Advanced degree in a quantitative focused discipline
• At least 3 years of experience using VBA, Python, R, OR SQL programming languages
• At least 3 years of experience supporting projects that build or test financial models.