Manage team responsible for the development and maintenance of the Lease Roll Rate model forecast and related processes to support Servicing Management and to provide additional insight into lease portfolio performanceCollaborate with multiple departments, including Corporate Finance, Accounting, and Servicing Management to align operational and accounting views of leasing terminationsManage monthly Lease Reserve forecast and accounting charge-off reconciliationsServe on Risk Management committees to enhance training and retention of employees

Served as lead statistician on US APR and lease scorecard development, which included communicating regularly with management on timelines and analyses, creating technical procedures for analysts, and supervising analysts’ progressionMonitored, validated, and evaluated trends on model performance and presented quarterly resultsLed the creation and development of multiple credit risk attributesMentored analysts throughout entirety of a project, including data gathering and validation, SAS, model development, analysis of results, trend analysis, and upper management presentationsUsing portfolio credit trends, independently analyzed prior auto payments for performance assessmentCreated an intermediate-level Excel VBA Training Manual for the Risk Management Department

Developed predictive models for loan acquisition purposes and presented final resultsDeveloped and maintained databases, technical models, and reports for research, data gathering, and analysesGathered and analyzed APR and lease data to determine risk-based impact to businessWorked with IT to accurately implement and validate scorecards, as well as on new attributesPerformed ad hoc analyses as requested by upper management, including research of individual applications for risk assessmentCreated tools to streamline processing and analyzing raw credit bureau dataCoordinated with other groups to develop and validate attributes, and analyzed results for ability to predict performance or identify pockets of riskCreated tools to streamline processing and analyzing raw credit bureau dataUtilized SAS, VBA, SQL, and LUA

Analyzed historical cost and hourly data using statistical tools, linear programmingtechniques, and simulation softwareDeveloped predictive risk models to forecast the technical, schedule, and performancecost riskPrepared independent cost evaluations of proposals and firm programsWorked extensively in Excel, Access and SAPWrote VBA macros in Excel and Access to streamline evaluation processes and to automate data extraction from databasesServed as data team lead, developing new tools for process improvementTaught a class on Cost and Schedule Risk Analysis to colleaguesServed as chair of the Women's Success Network.

Analyzed cost, economic, and production data for oil and gas reserves while utilizing different methodologies and statistical techniques. Supported acquisition evaluations, independent audits, and annual reviews. Collaborated with other analysts, engineers, and clients in a team environment. Utilized ECO, an internally developed program, to perform statistical and cost analysis. Worked extensively in Excel and in Access on a limited basis. Wrote, formatted, and prepared technical reports for clients.

Top Secret Clearance with full PolygraphMember of the Applied Mathematics Program, an equivalent to a Masters Degree in Mathematical EngineeringProgrammed in Perl, C, Python, Matlab, and SAS.Worked in a UNIX environment.Performed data analysis, software vulnerability analysis, microelectronics design analysis, research, cryptanalysis, image processing, with some signal processing experience.Worked with binary data.Researched and implemented statistical algorithms to manipulate different data sets.Collaborated with other mathematicians, engineers, and analysts.Wrote technical papers and gave technical presentations.