Statistical Modeler/Analyst

• • • • • • W2 Only - No C2C or 3rd Parties • • • • • • • • • • • • • Looking for Mid to Sr Level - 2-3 years of hands on Modeling Experience • • • • • • Ideally with Credit Risk. Python for Quantitative modeling, Not looking for Python for AI or Data Pipelines. Title: Statistical Modeler and Analyst Location: Atlanta or Dallas (3 days onsite) Type: Contract to Hire (W2 only) Converting to FTE: Client is not able to sponsor any form of work visa's • Looking for 2-3 years of hands on Model Development using Python, SQL (SAS is nice to have). • Experience with Credit Risk and or Loans, Default Risk, etc. • Passion in using Python to build various quantitative models and using math to turn data into information. Description: • Uses quantitative and analytical skills to mine, process and analyze data using (In Order of importance:) Python, SQL, Power BI, SAS, R, MS Excel or similar spreadsheet programs, and other business tools. • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions. • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections. • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team. • Build, recalibrate, and validate advanced predictive models. • Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors. • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data. • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets. Required Experience: • 2-3 years of experience in data analytics, such as data mining, business analytics and databases. • Proficient with Python, SQL, PowerBI, R or other business intelligence software. • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI. • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations. • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing. • Detail oriented with problem solving and critical thinking abilities. • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form. • Effective verbal and written communication and interpersonal skills. Education: • Master’s Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred! • • • • • • W2 Only - No C2C or 3rd Parties • • • • • • •