Keith Toussant, Jr. Email & Phone Number

Alexandria, Va, Us

Alexandria, Virginia, United States

• Serve as Supervisory Data Analytics Officer within the NSF's Computer & Information Science & Engineering (CISE) Directorate• Work closely with the CISE management team to manage the ever-growing data assets and needs and enable CISE to harness that data to support data-driven decision making and strategy setting, as well as improve operational efficiency.• Supervise and provide technical direction to the Data and Analytics team.• Design a robust data architecture and leverage sound data infrastructure – enabling CISE to maximize opportunities for data analytics innovations while meeting NSF data compliance mandates in privacy and security.

Baton Rouge, Louisiana Area

•Establish a framework that promotes accurate, precise, and useful analytics offerings that align with the strategic business needs and enable clients to foster an environment of data driven decision making•Lead cross-functional efforts between software architecture/development and data analytics to deliver robust data science solutions•Serve as Lead Analytics Developer and Technical Reviewer across the following service offerings: Business intelligence & insights, dashboarding and reporting, quantitative model development and data discovery efforts•Advise and oversee all analytics projects, manage client communication and exploration of new tools and technologies•Drive analytics initiatives and strategies as well as work with business development to identify opportunities to leverage data and technology to provide valuable insights to clients•Build processes that help to ensure delivered analytical content is relevant, replicable and meets the desired business need(s)Vinformatix is a Hub Zone Certified, WOSB custom turn-key software and web-based solutions firm located in Baton Rouge, LA. We create, integrate and deliver multi-platform web and mobile application development including software and hardware systems integration, data analyticsdevelopment, GIS, business automation and consulting services for Federal and State Government Agencies as well as the public and private sectors.

Houston, Texas Area

Model Risk Management/Validation/CECL Compliance: • Advise and consult with large multinational banks on the development of comprehensive model risk management and ongoing monitoring plans to ensure operational & regulatory compliance of models (i.e. loss forecasting, credit risk, etc.)•Performed risk and data controls gap analysis to identify potential areas of risk and worked closely with individual business lines to develop compensating controls & remediation plans•Developed model validation reports outlining analyses of model risk, model data, soundness, and overall model performance for submission to the Federal Reserve Bank•Led Current Expected Credit Loss (CECL) model documentation effort for adherence to FASB ASC/ASU Financial Instruments•Developed interactive dashboard using Tableau to drive decision making and uncover actionable insights which helped client to identify KPIs for bench-marking success/performance• Perform technical validation by assessing model soundness (qualitative framework) and model performance (quantitative framework) for adherence to SR 11-7 guidance as well as the model's ability to achieve the desired business objective•Led team of professionals in model validation effort of retail banking portfolio with more than $20 BN in assetsValuation/Structured Products:•As an Internal Fair Value Specialist, performed valuations for structured financial derivatives: Loan pools, MBS, CLO, CDOs, etc. Specifically for loan pool valuations, calculated cash flow models using SAS 9.4.•Pricing software experience includes: Bloomberg Terminal, Intex and Markit

Houston, Texas Area

• Reviewed, validated, and documented regulatory capital requirement models for CCAR (Comprehensive Capital Analysis and Review) and DFAST (Dodd-Frank Act Stress Testing) cycles, while also performing various data sufficiency and statistical test to ensure these models met or exceeded regulatory requirement standards across a range of Federal Reserve stress scenarios. This included an assessment of the ongoing monitoring plans implemented by the business, examination of sufficiency of Overlays/adjustments applied and review of model functional soundness. Model types include: OLS regression, decision tree analysis, account-level survival hazard models, logistic regression, etc. for estimating PD, LGD, EAD, Recovery and GCL.• Performed independent validations of forecasting models using developer provided codes, data, and documentation while examining assumptions/limitations imposed to identify areas of model risk. Additionally, held task of performing incremental testing beyond scope of the developer documentation to identify additional model risks•Developed interactive dashboard using Tableau to drive decision making and uncover actionable insights to guide client in identifying key performance indicators (KPI) and key risk indicators (KRI)• Performed various tests of robustness to ensure models meet or exceed regulatory requirement standards across a range of Federal Reserve stress scenarios (Base, Adverse, and Severely Adverse). Risk Data Management: • Analyzed forecasting data used by bank holding companies (BHCs) for completing their annual quantitative forecasts of balance sheet assets and liabilities, income, losses, and capital across a range of macroeconomic scenarios provided by the Federal Reserve

Baton Rouge, Louisiana Area

•Conducted descriptive and prescriptive analyses using Tableau and R to uncover hidden trends, patterns and insights•Designed and implemented dashboards for reporting insights and findings using Tableau based on client goals and business needs•Identified opportunities to use existing data to improve business performance while also leveraging statistical modeling to perform quantitative and qualitative data analysis

Baton Rouge, Louisiana Area

• Collect business intelligence data from available industry reports, public information, field reports, and purchased sources to perform market analyses for both new and existing clients• Assist in the development and maintenance of financial models for each client to help guide their operational decision making processes• Document client interactions and research completed utilizing Salesforce (CRM software)

Master’S Degree, Master Of Science In Business Analytics

Applicable Courses: • Advanced Data Mining for Statistical Inference • SAS Programming • Advanced Statistical Analysis • Categorical Data.

Bachelor Of Science (B.S.) In Economics | Minor: (It)Information Technology

Activities and Societies: Delta Sigma Pi, Beta Gamma Sigma International Honor Society, Association of Information Technology.