Lead Data Scientist
Federal Reserve Bank of Dallas
Dallas, TX, US
Onsite
2026-07-02
Estimated salary · Dallas
~ $110,200 - $188,300
Low
$83K
Median
$110K
High
$145K
Market in Dallas · BLS OEWS 2025
Estimated net pay
$7,196 - $11,684
/month · 22% withheld
after tax & contributions · on the estimated salary · Single, no dependents
Job description
**Company**
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Federal Reserve Bank of Dallas
We 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 Aptos talented people can thrive, and we welcome your unique background and perspective to help present the best possible solutions for our partners.
Location: \#LI\-Onsite. If you need assistance or a reasonable accommodation, please notify your Talent Acquisition Consultant.**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 origin
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