• Head of Global Banking Pre-Sales team• Head of Global Banking Professional Services team

Providing technical leadership and subject matter expertise for sales and implementation of cloud-based Artificial Intelligence solution in the retail deposits and lending space. Building bridges between analytics, strategy and technology to design SaaS solutions that operationalize AI at the world's largest financial institutions. • Developing demos, managing RFPs, leading presentations and communicating with prospects at all stages of sales cycle• Designing client-specific implementation architecture based on unique business needs and enterprise technology stack• Coordinating implementation activities across technology, analytics and strategy teams• Establishing thought leadership through white papers, webinars, etc.• Played pivotal role in Earnix’s expansion into banking industry, contributing to recent $1B valuation

Designing and implementing price optimization solutions for North American Retail Banking clients, in both lending and deposits. Leveraging background in machine learning, banking strategy and enterprise architecture to tailor custom modeling and software solutions to specific organizational needs. Empowering clients to precisely quantify, predict and manage customer responses to changes in pricing and competitive environment.

Lead balance modeler for $50bn Retail Deposit Portfolio. Developing and monitoring 100+ pricing models used for integrated forecasting and pricing optimization suite. Developed and implemented automated SAS-to-Excel toolkit for model development, monitoring, reporting and statistical analysis. Developed and implemented model development and governance policy consistent with statistical theory, business use and governance standards. FDIC described monitoring program as "one of the best practices in the industry."

Validating credit scorecards, econometric forecasting models and various PPNR models used in internal and regulatory stress testing, including heavy involvement in models used for the annual CCAR process.

Validating market and credit risk models in accordance with SR 11-07. Utilizing knowledge of mathematical finance and statistical programming, including Excel, Mathcad and SAS, to test and document models, including MBS Pricing, PD, and LGD.