Senior Data Scientist

Federal Reserve System•Chicago, IL

7d•$133,400 - $157,700•Onsite

About The Position

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.

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.
Advanced proficiency in coding and experience in several programming languages such as Python, PySpark, and SQL.
Advanced proficiency in one or more data discovery/analysis platforms.
Experience with operationalizing Machine Learning (ML) workflows using specialized frameworks.
Advanced knowledge and understanding in statistical modeling and data analysis techniques.
Advanced knowledge of software development practice.
Advanced knowledge of cloud data platforms, technologies, frameworks, and solutions.
Advanced analytical and problem-solving skills.
Excellent verbal and written communication skills.
Demonstrated ability to analyze and report on key statistical insights from financial data, including regulatory and licensed datasets
Ability to proactively lead initiatives, set priorities, prepare proposals, and compile technical documentation with minimal guidance
Proficient with source control such as Git
Knowledge of wholesale credit risk preferred.
As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies.
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.
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.
This position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and can take approximately two months to be completed.
The screening covers areas such as education/employment verification, criminal history, credit history, and reaches out to your references and people that know you well.

Nice To Haves

Knowledge of wholesale credit risk preferred.

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.