Machine Learning Research Assistant

Federal Reserve Bank of New York; Philadelphia (Philadelphia County); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Paid vacation and sick time

Tuition reimbursement

Free onsite fitness center

Job summary

The Federal Reserve Bank of New York seeks a Research Assistant for its Economic Research Department in Philadelphia. The role involves conducting statistical analysis and utilizing machine learning techniques to support economic research.

Qualified candidates should have a Bachelor's in a relevant field and experience in programming languages such as Python and R. The position offers comprehensive benefits including medical insurance, a 401(k) plan, and flexible work schedules.

Qualifications

• Bachelor's degree preferred in a quantitative field.
• Two years experience desired in natural language processing and related programming.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Conduct statistical and econometric analysis.
• Organize and analyze data with various programming languages.
• Prepare and present research results.
• Document methodologies and train junior analysts.

Skills

Knowledge of machine learning methods

Proficiency with Python

Analytical skills

Communication skills

Education

Bachelor’s degree in computer science, economics, mathematics, statistics, or finance

Tools

Python

R

Stata

SAS

MATLAB

Job description

Philadelphia Federal Reserve Bank

The 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.

Job Overview

Phased two‑year Research Assistant (RA) program in the Economic Research Department. RAs support economists by preparing briefings, working on forecasts, writing newsletters, and analyzing data for long‑term research projects.

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 research results to economists and management through oral and written reports.
• Write programs to automate data collection procedures and design databases for research projects.
• Document data sources, algorithms, and statistical tests; train junior analysts as needed.
• Review literature on research topics and summarize findings for economists.
• Keep abreast of developments in economics and computer science; produce charts and graphs to communicate findings.
• Collaborate with colleagues to implement changes and initiatives aimed at improving the quality of the operation or product.
• Perform related duties as assigned and fulfill job duties in conformance with safety practices.

Education and Experience

• Bachelor’s degree in computer science, economics, mathematics, statistics, or finance (preferred).
• Minimum of two years of experience or knowledge in natural language processing, large‑dataset processing, and related programming skills.

Knowledge and Skills

• Knowledge of state‑of‑the‑art machine learning methods.
• Demonstrated ability to apply quantitative techniques under general supervision.
• Proficiency with Python, R, Stata, SAS, MATLAB, and the ability to organize data into files for advanced statistical analysis.
• Quickly locating relevant data for research projects, speeches, and presentation visuals.
• Strong analytical and problem‑solving skills.
• Excellent oral and written communication skills.

Physical Requirements

Requires spending long hours working at a personal computer.

Benefits

• Medical, dental, and vision insurance (multiple options).
• 401(k)/Thrift Plan with generous employer match.
• Employer‑funded pension plan.
• Paid vacation, sick time, and holidays.
• Monthly $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 for undergraduate and graduate studies.
• Parental leave.
• Free onsite 24/7 fitness center, cafeteria, and coffee shop.

Equal Employment Opportunity

We are an equal‑opportunity employer committed to hiring the best candidates and to providing equal employment opportunity to all persons without regard to race, color, religion, sex, pregnancy, national origin, age, genetic information, disability, military service, or any other basis protected by law. Reasonable accommodations will be provided for applicants with disabilities.

Background and Security Clearance Requirements

Applicants will undergo a background investigation, drug testing, and enhanced background screening as a condition of employment. Positions may require advanced security clearance and adherence to the Federal Reserve’s information handling rules.

Employment Status

Employment is at‑will. Salary grade for this position is 12.