Senior Data Scientist

Requirements

• Bachelor's degree in a related field, or commensurate specialized training, certification, or work experience. Ideal degree in Computational Finance. Advanced (Master and/or PhD) preferred.
• Minimum three years of work experience.
• Knowledge & Skills:
• Advanced proficiency in coding and experience in seve

Benefits

Additional Information

Company Federal Reserve Bank of Chicago Federal Reserve Bank of Chicago The Federal Reserve Bank of Chicago is one of 12 Reserve Banks that, along with the Board of Governors in Washington, D.C., constitute the Federal Reserve System, which was established by Congress in 1913. The fundamental mission of the Federal Reserve System is to foster the stability, integrity and efficiency of the nation's monetary, financial and payment systems and to promote optimal economic performance. To this end, the Federal Reserve Bank of Chicago serves the public interest by participating in the formulation and implementation of national monetary policy; supervising and regulating state member banks, bank holding companies and foreign bank branches; providing financial services to depository institutions, designated financial market utilities, and the U.S. government; and promoting consumer protection and community development. The Seventh Federal Reserve District serves a five-state region, comprising all of Iowa and most of Illinois, Indiana, Michigan and Wisconsin. The Seventh District has more individual banks than any other Federal Reserve District. It also comprises a considerable part of the nation's manufacturing base - especially capital goods and consumer durables - as well as agricultural production and food processing. Supervision & Regulation Department Supervision and Regulation (S&R) plays a critical role in The Federal Reserve Bank of Chicago's core mission, supervising state-chartered banks that are members of the Federal Reserve System, bank holding companies, financial holding companies and savings and loan holding companies. Our duty is to foster the stability, integrity and efficiency of the nation's monetary, financial and payment systems to promote optimal economic performance. We seek individuals who hold themselves to the highest standards, who flourish in an environment of collaboration and innovation. Our most successful staff have strong critical thinking skills, as well as strong verbal and written communications capability. Job Summary The Federal Reserve Bank of Chicago's Wholesale Credit Risk Center (WCRC) uses data, analytics, and models to inform banking supervision. Whether creating analytical tools used for the ongoing monitoring of credit markets or modeling wholesale credit to identify emerging risks, the WCRC applies analysis in innovative ways to help supervise the financial system. As such, the WCRC is looking for an enthusiastic, technically skilled individual who can provide leadership in data analytics as well as subject matter expertise around available data, including third-party vendors. As a Senior Data Scientist you will utilize best practices in programming, automation techniques, and statistical methods to develop, integrate, and operationalize analytical tools. You will be responsible for identifying and communicating current, emerging, and predicted wholesale credit risks through various venues. This position is considered advanced level and performs work of moderate to high complexity. You will work under general supervision and may lead some efforts autonomously. You will not have any direct reports but may lead the work of junior staff. Principal Duties and Responsibilities Researches, models, and designs complex problems, discovers unique insights, and creates sustainable code-driven advanced analytics solutions with the use of data analytics methods and computational modeling techniques. Obtains, prepares, cleans, and manipulates large, disparate datasets from internal and external sources by developing fully automated end-to-end code-driven ETL (extract, transform, load) data pipelines for current and future reports, dashboards, and for ad-hoc data requests, utilizing python, SQL, and other applicable software coding tools and languages. Translates ambiguous business questions into analytical frameworks, delivering insights and solutions. Oversees products and deliverables through the full development life cycle, from research to product launch. Drives projects to completion utilizing best practices and coding standards. Communicates results and insights in a clear and concise manner to a non-technical audience Demonstrates proficiency in utilizing AI coding ecosystems to accelerate code generation, unit testing, and sustainability. Demonstrates knowledge of responsible AI usage to maintain high code quality, data safety, and compliance boundaries. Delivers engaging presentations using strategies that connect with the audience Collaborates with teams and stakeholders across the organization to understand business needs for advanced analytics.

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