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Jason Shorney is a Quantitative Analytics Leader who specializes in Mortgage Forecasting, Predictive Modeling, Data Science and Mortgage Risk Management.
Jason Shorney is a Quantitative Analytics Leader who specializes in Mortgage Forecasting, Predictive Modeling, Data Science and Mortgage Risk Management.
Jason Shorney stands out as a proven leader in Quantitative Analytics. In his work, Shorney confidently guides teams and financial institutions in transforming data into actionable insights. Shorney’s leadership extends across Predictive Modeling, Mortgage Forecasting and Risk Analysis, where he leverages advanced methods such as Logistic Regression, Hazard Modeling and Monte Carlo Simulation to develop highly accurate Forecasting Models. With deep expertise in Data Science, Mortgage Risk Management and Portfolio Analytics, Jason drives innovation in Financial Modeling and Mortgage Industry Analytics, ensuring that models are not only technically sound but also aligned with business needs. Skilled in SAS and Python, he has led initiatives in Cash Flow Forecasting, Prepayment and Default Models and Risk Forecasting, consistently delivering data-driven solutions that optimize outcomes for financial institutions.
As a Quantitative Analytics Leader, Jason Shorney’s ability to integrate statistical analysis, quantitative finance and economic modeling demonstrates his unique capacity for quantitative problem solving. His experience is what positions him as a trusted authority in advancing predictive analytics leadership.
At its core, Quantitative Analytics is the practice of applying mathematical, statistical and computational techniques to solve complex financial problems and guide decision-making. In the mortgage finance space, it translates into building predictive models that anticipate borrower behavior, market shifts and portfolio performance. Methods such as logistic regression, hazard modeling and Monte Carlo simulation allow analysts to assess risk with precision, while financial modeling and statistical forecasting help forecast revenues, expenses and long-term outcomes.
For Jason Shorney, Quantitative Analytics is not just about crunching numbers — it’s about creating data-driven solutions that empower financial institutions to manage mortgage risk, optimize mortgage servicing rights (MSR) and strengthen overall risk forecasting strategies. By blending technical mastery with practical application, Jason demonstrates how quantitative problem solving drives smarter, more resilient decisions across the mortgage and finance industries.
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