Company

Federal Reserve Bank of DallasWe are dedicated to serving the public by promoting a strong financial system and a healthy economy for all. These efforts take a team of dedicated individuals doing many different jobs. Together we’re creating a workplace where talented people can thrive, and we welcome your unique background and perspective to help present the best possible solutions.

Location: #LI-Hybrid

About the Role:

The Federal Reserve Bank of Dallas is looking for a Banking Supervision and Regulation (BSR) Economist who will play a central role in developing and maintaining quantitative models to support System supervisory decision making. You are an expert in interpreting banking conditions and economic trends. You are a recognized leading thinker in producing innovative applied, high-quality research to inform Federal Reserve System banking risk identification and supervisory strategies and examination prioritization. You will conduct innovative analysis and research using data from bank regulatory reports and other data sources to advance risk identification, financial stability, supervisory policy, and other areas of supervisory interest. You will conduct supervision and financial sector policy-oriented research for publication in refereed journals and presentation at research conferences.

You Will:

• Lead large-scale analytic projects through all stages of development, including formulating concepts, executing analysis, conducting robustness testing, and reporting and presenting final research results.
• Develop 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 banking sector risk and other banking outcomes of interest.
• Develop documentation of key supervision models and conduct ongoing performance testing.
• Work closely with data scientists to develop new models to inform and support bank supervision.
• Conduct supervision and financial sector policy-oriented research; deliver formal presentations and create analytical reports and executive summaries of findings.
• Maintain an up-to-date knowledge of relevant research in banking.
• Work closely with supervision senior staff to initiate, develop and carry out research for projects to support supervision.
• Support, as needed, requests for assistance on large bank model risk management examination.

You Have:

• Doctoral degree in a quantitative field such as economics, finance, mathematics, data science, or computer science
• Proficient knowledge of the banking industry, including bank regulatory data and supervision and regulation
• Experience in the application of advanced quantitative techniques in economics, data science, statistics or other quantitative fields
• Experience using common statistical software, such as R or Python
• Proficient knowledge of model risk management expectations
• Proficient knowledge of bank regulatory data Expert knowledge on data interpretation and trends in the banking sector
• Ability to perform independent banking research with little direction
• Ability to conduct and publish banking research for publication in peer-reviewed journals
• Equivalent education and/or experience may be substituted for any of the above requirements

Our Benefits:

Our total rewards program offers benefits that are the best fit for you at every stage of your career:

• Comprehensive healthcare options (Medical, Dental, and Vision)
• 401K match, and a fully funded pension plan
• Paid vacation, holidays, and volunteer hours; flexible work environment
• Generously subsidized public transportation and free parking
• Annual tuition reimbursement
• Professional development programs, training and conferences
• And more…

Notes:

This position may be filled at various levels based on candidate's qualifications as determined by the department.

This role allows for the employee to work in a hybrid manner with some work conducted onsite at the Federal Reserve work location and some work conducted remotely. Specific schedule details will be discussed during the recruitment process.

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 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.

The Federal Reserve Bank of Dallas is proud to be an Equal Opportunity Employer that believes in the diversity of our people, ideas and experiences, and we are committed to building an inclusive culture that represents the communities we serve.

If you need assistance or an accommodation due to a disability, please notify your Talent Acquisition Consultant.

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Work Shift

First (United States of America)

The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

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