Data Scientist

📁
Analytical
📅
267014 Requisition #
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Position Summary

The Data Scientist 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.

This position requires access to confidential supervisory information and/or FOMC information, which is limited to "Protected Individuals" as defined in the U.S. federal immigration law. Protected Individuals include, but are not limited to, U.S. citizens, U.S. nationals, and U.S. permanent residents who either are not yet eligible to apply for naturalization or who have applied for naturalization within the requisite timeframe. Candidates who are not U.S. citizens or U.S. permanent residents may be eligible for the information access required for this position and sponsorship for a work visa, and subsequently for permanent residence, if they sign a declaration of intent to become a U.S. citizen and meet other eligibility requirements.

In addition, all candidates must undergo an enhanced background check and comply with all applicable information handling rules, and all non-U.S. citizens must sign a declaration of intent to become a U.S. citizen and pursue a path to citizenship.

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

  • Bachelor's degree in Mathematics, Statistics, Data Science, Economics with an emphasis on statistics. 5+ years of related work experience
  • Or Preferred:
  • Master's degree in Mathematics, Statistics, Data Science, Economics with an emphasis on statistics. 3+ years of related work experience

Knowledge and Skills

  • Experienced in application of advanced quantitative techniques in Data Science, Statistics or other quantitative field
  • Ability to perform independent research with limited direction.
  • Knowledge of banking and financial markets
  • Experience with statistical programming using packages such as R, Matlab, Python or SAS
  • Experience working with large data sets
  • Communication skills - both written and verbal. Ability to deliver presentations and draft publication-quality reports.

The Federal Reserve Bank of Cleveland is an Equal Opportunity Employer. We are dedicated to sustaining an environment in which diversity is valued and differences are strengths. It is the Bank’s policy to provide equal employment opportunity for all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, gender identity or expression, genetic information or sexual orientation.

Physical Demands and General Working Conditions

Employees typically sit most of the day, work with a computer and may answer/respond to phone calls. Physical movement consists of walking for meetings, breaks, etc. Ability to lift items weighing approximately 20 pounds on a limited basis is required. Employees may be required to travel by car/air.

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