Data Analytics Intern – Financial Regulation

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 Opportunities

Professional Development

Job summary

The Federal Reserve Bank of Cleveland is seeking an S&A Intern to contribute to data management and regulatory reporting initiatives. You will learn the Statistics Function’s mission, support quality assurance, and help explain reporting instructions to financial institutions.

Work will be onsite in Cleveland, Ohio, for sophomores and beyond, with a 10–12 week schedule and a starting hourly salary range. Strong Excel and SQL/AI-ML interest are encouraged.

Qualifications

• Pursuing undergrad/grad in Finance, Economics, Business Analytics, Data Science or related field.
• Strong technical proficiency with Excel; SQL or AI/ML knowledge is a plus.
• Ability to work in a deadline-driven environment and multitask.

Responsibilities

• Develop understanding of the Statistics Function’s mission and focus areas.
• Conduct quality assurance on regulatory filings for stakeholders.
• Provide guidance to financial institutions on regulatory reporting requirements.
• Help teams identify process improvements and design analytical solutions using AI/ML.
• Engage in leadership and career development activities.

Skills

Excel

SQL/AI-ML

Deadline management

Multitasking

Teamwork

Communication skills

Technical skills

Education

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

Tools

SQL

Job description

The Federal Reserve Bank of Cleveland is seeking an S&A Intern to contribute to data management and regulatory reporting initiatives. You will learn the Statistics Function’s mission, support quality assurance, and help explain reporting instructions to financial institutions.

Work will be onsite in Cleveland, Ohio, for sophomores and beyond, with a 10–12 week schedule and a starting hourly salary range. Strong Excel and SQL/AI-ML interest are encouraged.