Machine Learning Research Assistant

About the role

The Federal Reserve Bank of Philadelphia is seeking Research Assistants (RAs) to support the Economic Research Department. RAs work closely with economists on various projects, contributing to the Bank's mission of formulating and implementing monetary policy, supervising banks, and providing financial services.

Responsibilities

• Perform statistical and econometric analysis using state-of-the-art machine learning techniques.
• Organize data for analysis and write computer programs using Python, R, SAS, Stata, Matlab, and other software.
• Present results of research to economists and management in oral or written reports.
• Initiate and conduct independent research projects of a limited nature for and under the supervision of economists.
• Design databases for use in economic research projects and machine learning projects across the bank.
• Write documentation of data sources, algorithms, and statistical tests that have been performed on the data.
• Document procedures and train junior analysts when required.
• Identify, communicate, and implement changes and initiatives to improve the quality of operations or products.
• Keep abreast of current developments in economics and computer science.
• Produce charts and graphs to communicate findings to business lines throughout the bank.

Requirements

Minimum of two years’ experience in or knowledge about natural language processing and processing large datasets and related programming skills are a plus. A bachelor's degree in computer science, economics, mathematics, statistics, or finance is preferred.

Skills

• Knowledge of state-of-the-art machine learning methods.
• Demonstrated ability to apply quantitative techniques in research projects under general supervision.
• Ability to use statistical programs, such as Python, R, Stata, SAS, and Matlab, to organize data into files and perform advanced statistical and econometric analyses.
• Ability to quickly find relevant data for research projects and for speeches and presentation visuals.
• Strong analytical and problem-solving skills.
• Good oral and written communication skills.

Benefits

• Medical (4 options)
• Prescription
• Dental (3 options)
• Vision Insurance
• 401k/Thrift Plan with generous employer match
• Employer-funded Pension Plan
• Paid Vacation/Sick Time & Holidays
• $200 Commuter Allowance
• Flexible Spending Accounts and Healthcare Spending Accounts
• Flexible Work Schedule available in most departments
• Life Insurance and Long Term Disability Insurance
• Tuition Reimbursement (undergraduate and graduate)
• Parental Leave
• Free onsite 24/7 Fitness Center including training classes, Peloton bikes and locker room / shower facilities
• Onsite Cafeteria & Coffee Shop
• Additional Convenience Benefits, Discounts And More...

Physical Requirements

Must be able to spend long hours working at a personal computer.

How to Apply

Please upload both a resume and a cover letter to be considered for this position. Please upload your files to the Attachments tab.