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Dallas, Texas, United States
Onsite
About the Role:
The Federal Reserve Bank of Dallas is looking for a versatile Lead Data Scientist to work within the Banking Supervision, Surveillance and Policy Analysis team. As the Lead Data Scientist, you will be responsible for developing, maintaining, and automating regular financial and economic analysis of banking conditions, and guiding a team of data scientists and risk specialists. You will collaborate closely with cross-functional teams, including banking supervision, research, and integrated policy stakeholders, to develop and implement data-driven strategies and solutions. Your expertise will help shape our data science vision and drive impactful insights and innovations. This position will serve as a technical leader for a group of Data Scientists and will produce regular monitoring reports and implement analytics solutions.
You Will:
Develop and maintain Tableau dashboards that inform senior leadership about emerging banking risks and supervisory activities
Write quarterly risk reports and ad hoc analyses that explain the development of top and watch risks for Eleventh District banks to senior leadership and the public
Clean, validate, and analyze financial datasets to support fundamental research as well as the development of internal surveillance and risk models that inform banking supervision decisions.
Lead or participate in creating briefing material and original analysis.
Confer with Federal Reserve personnel and banking industry contacts to gather information and determine the relevant topics to include when briefing senior Bank management.
Prepare semi-annual briefings and discussion topics for Community Depository Institution Advisory Council leadership, FRB Dallas Advisory Council members, and quarterly banking perspectives for senior Reserve Bank executives.
Participate in meetings with Reserve Bank management to discuss developing policy issues, findings, and recommendations.
Ensure written documents that summarize and communicate policy findings to BSR and FRB Dallas senior management, the Board of Governors and other regulatory agencies comply with System and district standards, policies, and procedures.
Work with the Supervisory Policy team to monitor developments in Fintech, Energy, and in the Mexican economy which may prompt a supervisory policy response.
Monitor industry news, Federal Register notices of proposed rulemaking, and economic data reports, recommending actions to be taken where appropriate.
Ensure expertise is maintained by participating in system and industry conferences, discussions, and training.
Ensure that Reserve Bank management and appropriate business lines affected by policy developments are aware of the risks and changes in the risk and how such changes affect all business lines and entities supervised.
You Have:
Bachelor’s degree in finance, accounting, or related field.
Advanced degree and/or professional certification preferred.
Minimum 5 years of banking, financial, regulatory, or related experience in specialty area, including at least 3 years in a technical leadership role. Proven track record of successfully leading data science projects.
Strong knowledge of operations, applicable laws and regulations, and relevant supervisory guidance for specialty area.
Excellent communication and analytical skills.
Ability to handle difficult or challenging conversations and to provide critical feedback.
Ability to communicate effectively with a variety of stakeholders, including senior staff at the Reserve Bank, Board of Governors, and banking organizations.
Proficiency in modern statistical and general-purpose programming languages. Preference given towards Python and R.
Expertise in data analysis, machine learning, and statistical modeling required. Experience with data visualization tools and big data technologies such as Tableau, Quarto, SQL/SAS/Hadoop, or Starburst.
Strong knowledge of bank accounting principles and familiarity with bank financial reporting data (Call Report, Y-9, Y-14, etc.).
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 position has a preference to be filled in Dallas, Texas; however, we are also open to candidates who will work out of the Houston or San Antonio office.
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 permanent residents may be eligible for the information access required for this position if they sign a declaration of intent to become a U.S. citizen and pursue a path to citizenship and meet other eligibility requirements. In addition, all candidates must undergo an enhanced background check and comply with all applicable information handling rules.
The Federal Reserve Bank of Dallas is proud to be an Equal Opportunity Employer and is committed to ensuring equal employment opportunity to all applicants.
If you need assistance or an accommodation due to a disability, please notify your Talent Acquisition Consultant.
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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