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 Data Scientist to join the Supervisory Risk and Surveillance group of the Banking Supervision Department. In this role, you will be a key contributor in developing and maintaining quantitative models that support Federal Reserve System supervisory decisions across the country. You will work with complex datasets and a variety of statistical modeling techniques to develop the next generation of banking risk early warning systems. In addition, you will develop and implement innovative solutions to assess and monitor risk at Federal Reserve-supervised institutions. You will collaborate with Dallas-based team members and interact with colleagues across the Federal Reserve System.

You Will:

• Develop and maintain 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.
• Perform large data manipulation, extraction, cleaning, organization, and visualization; develop models, interpret model results, and test for model performance.
• Contribute to the development of documentation for key banking supervision models.
• Contribute to internal written analysis and research-based papers on topics such as quantitative modeling, data and risk analysis, and trends in the banking industry.

You Have:

• Master’s degree in a quantitative field such as economics, finance, mathematics, data science, or computer science
• High proficiency of using common statistical software, such as R or Python, for data processing, statistical modeling, visualization and robustness testing
• Experience developing, implementing, or validating statistical models
• Experience working with large structured and unstructured financial datasets
• Knowledge of the banking industry, including bank regulatory data and supervision and regulation
• Strong written and verbal communication and presentation skills including ability to effectively share results with both technical and non-technical audiences
• Ability to work well with teams to achieve shared objectives
• 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.

Privacy Notice