CIT Group Inc.

VP, ALM Quantitative Modeling -Treasury

Location US-CA-Pasadena
Job ID
# Positions
Job Family
Finance - Treasury



Founded in 1908, CIT (NYSE: CIT) is a financial holding company with approximately $50 billion in assets as of Dec. 31, 2017. Its principal bank subsidiary, CIT Bank, N.A., (Member FDIC, Equal Housing Lender) has approximately $30 billion of deposits and more than $40 billion of assets. CIT provides financing, leasing, and advisory services principally to middle-market companies and small businesses across a wide variety of industries. It also offers products and services to consumers through its Internet bank franchise and a network of retail branches in Southern California, operating as OneWest Bank, a division of CIT Bank, N.A. For more information, visit


The VP, ALM Quantitative Modeling will be responsible for the Bank’s FTP modeling for all banking products. This position will take the lead role in the ongoing development and enhancement of methodologies as well as monthly updates and support for key assumptions and/or input parameters (including the development and maintenance of supporting documentation). This position will lead the FTP system upgrade and roll out of new methodologies with all business lines and internal clients.


  • Develop and/or refine FTP methodologies using analytical tools, historical data and other appropriate information in a manner consistent with market risk modeling while promoting the desired line of business behavior
  • Collaborate with the business line FPA/BU leaders to enhance the analysis and interpretation of Funds Transfer Pricing results with a focus on the Transfer Pricing Center 
  • Manage funds transfer pricing while enhancing cost of funds methodologies and models for all Bank products/business lines
  • Facilitate cross-functional collaboration with FP&A, financial reporting, and business lines in order to develop profitability measurement and to carry out strategic ALM objectives


  • 5+ years experience in Funds Transfer Pricing modeling and ALM analytics
  • Advanced degree in Statistics, Financial Engineering, Financial Modeling, etc.
  • Mastery in a variety of software applications and languages: SQL, VBA, Microsoft. FTP software within QRM, or other ALM systems, such as Kamakurais a plus
  • Understanding of theoretical and practical accounting and finance concepts as well as techniques including discounted cash flow analysis, ROE, economic capital, funds transfer pricing, ALM and interest rate risk models, etc.
  • Prior experience in an FTP role for a Commercial Bank 
  • Excellent analytical and research skills: ability to interpret financial results and business indicators to identify trends
  • Master’s or PhD in in a quantitative degree required


Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed