Senior Machine Learning Economist

Federal Reserve Bank of Philadelphia
Philadelphia - United States
S: Competitive

he Federal Reserve Bank of Philadelphia is one of the 12 regional Reserve Banks that, together with the Board of Governors in Washington, D.C., make up the Federal Reserve System. It helps formulate and implement monetary policy, supervises banks and bank and savings and loan holding companies, and provides financial services to depository institutions and the federal government. The Federal Reserve Bank of Philadelphia serves eastern and central Pennsylvania, southern New Jersey, and Delaware.

Job Summary:

Conducts undirected highly specialized research, helps develop a machine learning center of expertise, develops novel computational and machine learning methods and applications, publishes in peer-reviewed journals. This position will be responsible for integrating machine learning techniques into existing applications. Develops and consults on machine learning methods and applications for business line units.

Directs data science applications and development for one or more business lines. Consults and collaborates with business line leaders to shape data science efforts and address business needs. Partners with analysts to successfully deliver data science solutions, including associated documentation and presentations.

Assists, as requested, research officers in planning and coordinating work on economic and machine learning issues.

Principal Duties and Responsibilities:

Conducts undirected highly specialized research on methods and applications that support analysis of large datasets.
Publishes working paper series and scholarly journals.
Interacts with Research department economists on applying machine learning methods to large datasets.
Collaborates with business line units to bring best-practice machine learning methods to analyze data and build applications.
Consults with business line leaders to develop and implement large dataset analysis.
Works with business line unit analysts to frame research questions about large datasets and to implement state-of-the-art machine learning methods.
Develops and implements solutions for a wide variety of complex data issues.
Partners with engineering and technology teams to implement solutions.
Fulfills job duties and responsibilities in conformance with sound safety practices.
Maintains active involvement in the accomplishments of the Department`s and Bank`s quality initiatives.


Education & Experience:

PhD in Economics or technology related field required.
Proven record of numerous high quality research studies in respected outlets.


Knowledge & Skills:

Expertise in technical skills related to computing (operating systems, databases, networking, high performance computing, and related).
Expertise in statistical analysis and programming methods.
Fluent in at least one programming language common in data sciences, with competency in others.
Familiarity with leadership and management skills.
Strong oral and written communications skills.

Job summary