Data Scientist / Quantitative Analyst – Stress Testing

Minneapolis, MN

Federal Reserve System

The Federal Reserve Board of Governors in Washington DC.

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Company

Federal Reserve Bank of Minneapolis

The Federal Reserve Bank of Minneapolis has an exciting opportunity for individuals with data science experience. The successful candidate will become a part of the Production Function within the National Stress Testing Program. The individual will work with complex datasets, a variety of statistical modeling techniques, and several programming languages. The individual will collaborate with other members of the Minneapolis-based team and interact with colleagues across the Federal Reserve System. The individual will utilize R and Python to implement models for annual Dodd-Frank Act stress tests, develop automated analytics, and support policy makers with ad hoc analysis. The individual will also get to interact with senior leaders across the Federal Reserve System.

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 3 days per week for meetings and team collaboration. 

Essential Duties:

  • Use critical thinking to conceptualize, analyze, synthesize, and/or evaluate information to determine the appropriate strategies and solutions, after being given instructions and guidance and under regular supervision.
  • Apply technical expertise, initiative, reliability, and judgment to help develop strategies for implementing new financial models and/or data analytics.
  • Perform data extraction, cleaning, and organization.
  • Assists in the transformation of large-scale datasets from external to internal systems in a manner suitable for analysis.
  • Assists in end-to-end support of system, including identification of relevant data, development of data reporting forms/structures, gathering of data, storage of data, analysis of data, interpretation of analysis and data visualization.
  • Supports mapping, maintenance, and enhancements of system databases.
  • Implements and enhances data quality tests.
  • Assists with process automation. Implements enhancements to automated processes.
  • Work consists of procedures and tasks where quantitative analysis is required. Work requires technical skills including statistical modeling, programming, mathematics, finance, as well as subject matter knowledge (e.g., understanding of financial institutions and markets).
  • May assist in the planning and design of projects involving modeling, data and financial analysis and operational functions.
  • Complete project tasks and activities in a timely manner. May identify new initiatives/projects that will further the work of the organization.
  • Prepare and deliver clear, accurate and concise communication orally and in writing.
  • Share information and ideas regarding projects and work for Section/Project Teams/Division or external stakeholders. Present work at forums to share knowledge with others.
  • Functions as a resource to the organization. Interacts with counterparts across the organization to gather information, pose questions, provide interpretation, and achieve objectives. Strong interpersonal skills needed to interact with outside contacts and other organizations
  • Performs other duties as assigned.

Qualifications:

  • Bachelor's or higher degree in a quantitative subject such as computer science, statistics, mathematics, physics, engineering, or degree in another subject such as finance, economics or relevant quantitative background. Master's or PhD preferred. 
  • 2 years of relevant experience
  • Experience in open-source programing languages R (preferred) and/or Python including data processing, modeling, visualization, and documentation tools
  • Knowledge of version control platforms such as Git and containerization such as Docker
  • Expertise in management of data requirements and use of data in relational databases using SQL
  • Experience with the software development life cycle and/or DevSecOps coding cultures preferred
  • Experience developing, implementing, or validating statistical models 
  • Ability to quickly adapt to new and changing regulatory and financial industry environments
  • Ability to effectively articulate issues and solution proposals in verbal and written form
  • Ability to work independently in a matrix management structure as well as willingness to collaborate within a team 

Salary & Benefits:

MPLS Salary Range: $94,700 - $118,387 - $142,100

Helena Salary Range: $85,200 - $106,549 - $127,900

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 believe that 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. 

Additional Information:

*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 sponsorship for a work visa, 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 applicable background checks 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. 

*We are filling multiple roles with this posting.

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Economics/Research

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.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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Tags: Computer Science Data Analytics Data quality Data visualization Docker Economics Engineering Finance Git Mathematics Open Source PhD Physics Privacy Python R RDBMS Research SDLC SQL Statistical modeling Statistics Testing

Perks/benefits: 401(k) matching Career development Conferences Equity / stock options Health care

Region: North America
Country: United States

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