Data Scientist

Federal Reserve Bank of Cleveland
Cleveland - United States
S: Competitive

Identifies and executes projects that innovatively leverage advanced quantitative analytical tools and techniques to advance risk identification, financial stability, supervisory policy, and other areas of supervisory interest. Plays a central role in designing, developing and conveying the results of models (including econometric, predictive, behavioral, simulation or other) to ensure identification of firm-specific, sector, and broader banking industry trends and risk developments in an informative, forward-looking, and critically focused manner. Leads efforts to distill large amounts of data, whether accessed through public or supervisory sources, into relevant, focused and actionable information. Experience in data mining, artificial intelligence, machine learning, and/or other emerging fields is preferred. Uses innovative data visualization methods for delivering findings, and creates publication-quality reports and presentations for sharing results. Proven capability in developing relationships and working with business line partners.

Essential Accountabilities
Develops predictive models using econometric modeling and data mining techniques (e.g., generalized linear models, classification trees, random forests, boosting, cluster analysis, factor analysis, shrinkage methods text mining and natural language processing) to measure, monitor and predict various measures of financial risk.
Contributes to analytic projects through all stages of development, including formulating concepts, developing and executing analysis plan, and reporting and presenting final research results.
Has programming skills to transform large and complex datasets in a manner that is suitable for analysis.
Visualizes and reports analytic findings using a variety of methods to promote understanding of key insights and actionable takeaways for both technical and non-technical audiences.
Delivers formal presentations, create analytical reports and executive summaries of findings.
Compiles, reviews and assesses information from academic journals, market sources and other reports to maintain state of the art knowledge in data analysis and financial risk modeling techniques.

Performs other duties as assigned or requested.
Adheres to the Bank's attendance policies through regular and prompt attendance.

Education and Experience - Level I

Master's degree in Mathematics, Statistics, Data Science, Economics with an emphasis on statistics
3+ years of related work experience

Education and Experience - Level II

Master's degree in Mathematics, Statistics, Data Science, Economics with an emphasis on statistics
5+ years of related work experience

Education and Experience - Lead

Master's degree in Mathematics, Statistics, Data Science, Economics with an emphasis on statistics
7+ years of related work experience

Job summary