Advanced Analytics Intern: Econometrics & ML in Finance

Federal Reserve Bank of Cleveland; Cleveland (OH); On-site; USD 28,000 - 36,000; Full time

Benefits offered by this job

Hands-On Experience

Mentorship

Networking

Professional Development

Job summary

The Federal Reserve Bank of Cleveland is offering an internship for highly motivated students in Cleveland, Ohio. Interns will work on building predictive models, preparing data visualizations, and supporting analytic projects across development stages.

Applicants should be pursuing an undergraduate or graduate degree in Finance, Economics, or Data Science with strong programming and data skills. Work is onsite with a 40-hour week for 10–12 weeks, starting as early as June.

Qualifications

• Pursuing an undergraduate or graduate degree in Finance, Economics, Data Science or related field with a minimum GPA of 3.0.
• Strong technical skills—experience with large data sets and statistical programming (Python and/or R); git and data processing tools (SQL, Spark) are a plus.
• Must be able to work onsite in Cleveland, OH.

Responsibilities

• Assisting with building and testing predictive models using econometric, machine learning, and data mining techniques.
• Preparing preliminary data visualizations and contributing to analytical findings.
• Assisting with analytic projects through development stages and reporting final results.
• Engaging with subject matter experts on AI-related projects.
• Participating in weekly standups and PI planning.
• Engaging in leadership and career development activities.

Skills

Statistical programming

Data analysis

Communication skills

Deadline driven

Education

Undergraduate or graduate degree in Finance, Economics, Data Science or related field

Tools

Python

R

SQL

Git

Spark

Job description

The Federal Reserve Bank of Cleveland is offering an internship for highly motivated students in Cleveland, Ohio. Interns will work on building predictive models, preparing data visualizations, and supporting analytic projects across development stages.

Applicants should be pursuing an undergraduate or graduate degree in Finance, Economics, or Data Science with strong programming and data skills. Work is onsite with a 40-hour week for 10–12 weeks, starting as early as June.