Detail-oriented and mathematically inclined analytics professional with ability to translate complex quantitative methods into easily understood results for all levels of business customers, ability to work independently with strong background in all phases of model development, evaluation, and deployment for use in support of the customer’s business units.
Experience in:
•Conducting research and selecting desired modeling methodologies.
•Employing statistical / econometric / data mining techniques to assess, monitor and forecast different sources of risk.
•Developing optimization frameworks to support models related to risk allocation, pricing, capital strategy to improve and guide business decisions.
•Working with various data sources and platforms to gather data.
•Executing both descriptive and inferential ad hoc requests in a timely manner.
•Communicating and presenting models to business customers and executives.
•Presenting data in charts, graphs an tables
•Conducting complex statistical and econometric analysis, large scale data manipulation and data mining, simulation, and optimization (linear / nonlinear / dynamic).
•Programming fluency: R, SAS
•Statistical modeling: Supervised, unsupervised, parametric and algorithmic techniques
•Database technologies – SQL Server, MY SQL
•Data visualization – RMarkdown, KnitR, Plotly, Excel, Word, PowerPoint