Associate Data Scientist/Quant Analyst - Federal Reserve Bank (FRB)

Please provide both a resume and cover letter as part of your application for full consideration. Please include a brief explanation of your interest in this role and links to any public code products, if applicable. Candidates will be asked for a code-based work sample later in the hiring process.

The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person. Onsite work is an essential function of this position, and you are expected to be in the office 4 days per week for meetings and team collaboration. 

This position DOES NOT sponsor employment-based visas.

Responsibilities: 

• Use code-based analytical tools to answer questions relevant to low- and moderate-income communities 
• Work with both public (e.g., decennial census, Current Population Survey, and American Community Survey) and restricted-access datasets to analyze socioeconomic trends and public policies affecting low- and moderate-income households 
• Respond to requests for data and data analyses; develop expertise on gathering data from a wide range of sources; stay current on data source developments both inside and outside the Federal Reserve System 
• Manage projects and relationships in a collaborative, team-based environment 
• Develop data visualizations to accompany articles describing research findings 
• Maintain public-facing data dashboards and other data tools 
• Document analytical work and data products 

Qualifications:  

• Strong proficiency in computational/statistical programming with 2 years of relevant quantitative and programming work experience 
• High level of attention to detail and commitment to rigorous quantitative analysis 
• Experience with or strong willingness to learn dashboarding tools like R Shiny and Tableau, as well as version control tools like GitHub 
• Interest in public policy related to labor market policies and housing affordability 
• Enthusiasm for building expertise in new subject areas and technical tools 
• Ability to manage and adapt to multiple concurrent projects, shifting priorities, deadlines, and informational needs 
• Ability to work collaboratively and contribute to a team setting as well as the willingness to work independently without extensive oversight 
• Ability to maintain effective working relationships with technical and non-technical staff 

Preferred Qualifications: 

• Bachelor’s degree 
• Strong existing proficiency in R 
• Prior professional experience with collaborative coding and version control workflows 
• Prior analytical experience with core public data products (e.g., U.S. Census Bureau products, IPUMS) 

Salary Range: $72,200 - $90,250 - $108,300

Salary offer will be based on qualifications/experience of the candidate, alignment with market data, the needs of the position, our total compensation package, and internal equity.   

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)
• 401(k) match, and a fully funded pension plan
• Paid time off and holidays
• Free public transportation passes
• Annual educational assistance
• On-site fitness facility
• Professional development programs, training, and conferences
• And more…

The Minneapolis Fed is committed to developing a diverse workforce and providing an inclusive environment where all employees are respected and valued.We believethat we can foster development opportunities for all and reach our full potential by recognizing the unique experiences and identities of each of our colleagues. From economists to cash specialists, we work together to represent you in our economy.