CIT Group Inc.

VP, ALM Quantitative Modeling -Treasury

Job ID
# Positions
Job Family
Finance - Treasury


Founded in 1908, CIT (NYSE: CIT) is a financial holding company with more than $65 billion in assets. Its principal bank subsidiary, CIT Bank, N.A., (Member FDIC, Equal Housing Lender) has more than $30 billion of deposits and more than $40 billion of assets. It provides financing, leasing and advisory services principally to middle market companies across a wide variety of industries primarily in North America, and equipment financing and leasing solutions to the transportation sector. 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.


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


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