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Loss Allowance and Valuation Analytics (LAVA) for GSE

This broad MSA covers departmental and corporate-wide initiatives: model applications, databases and platforms for model infrastructure and integrating analytics tools. This MSA supports several corporate-wide initiatives being led by the business area we support- a Big Data platform transformation and analytics engines for new accounting and regulatory requirements such as Earnings at Risk and Current Expected Credit Losses (CECL.) The Loss Allowance and Valuation Analytics (LAVA) engine for FAS 114 graphical presentations is one of many application tools our staff have worked on. 


The Oakleaf engagement with the Finance Business Analytics group has involved years of engagement with their teams supporting their model infrastructure responsibilities, where the company’s principal forecast and historical statistical models are executed, including the runs and reports of outcomes. These reports support analysis and research by sophisticated users without technical programming skills. Oakleaf’s efforts resulted in the models executing faster and therefore their large volumes of statistical data had understandable and accurate metrics, reports and graphical dashboards and displays, which the risk management and economists used in their key decision-making.


One application is the Loss Allowance and Valuation Analytics or LAVA platform, an engine for calculating and providing graphical presentation of FAS 114 and CECL accounting requirements. This complex engine includes Oracle, Netezza and Tableau among many other tools used to build a suite of leading edge analytical tools. Our team provided SAS, R, Python, SQL, Unix, Java and many other resources as well. We delivered the application into production and supported it in production, making ongoing modifications.


Oakleaf has transitioned with the client from their Waterfall to Agile development process, a massive enterprise-wide initiative. Applying iterative, prototyping in the Agile development to a model infrastructure environment presents challenges with testing and new team dynamics. Oakleaf’s long history with Fannie Mae’s SDLC and very mature change management requirements made the transition smoother, saving time and development costs. We tested using manual and automated processes. We supported the business area, not the IT department, and our team’s depth with the business concepts and technologies distinguished us for selection to support massively expanding projects.