Financial Data Engineer Intern - Summer (AI & Automation)

PassFort

San Francisco (CA)

On-site

USD 40,000 - 57,000

Full time

8 days ago

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Job summary

Moody’s is seeking motivated students for a 10-week summer internship in data operations in San Francisco. You’ll gain hands-on experience with data analysis, automation, and responsible AI practices while contributing to data quality and reliability across Moody’s products.

The program runs from June through August, with full-time hours and opportunities to network, receive mentorship, and develop professional and technical skills in a collaborative environment.

Qualifications

  • Pursuing a degree in a related field with targeted coursework.
  • Strong analytical and data quality focus required.
  • Interest in AI and responsible use of AI tools.

Responsibilities

  • Monitor financial reporting metrics to identify unusual results and data quality issues
  • Analyze possible causes of unusual metrics and verify with team
  • Support automation to reduce manual work
  • Evaluate the potential product impact of changes to data sources
  • Improve processes to extract date information from financial reports
  • Explore appropriate uses of AI tools to support data analysis and efficiency
  • Document analyses, findings, and process changes clearly
  • Collaborate with team members to resolve data-related issues

Skills

Analytical skills
Finance industry knowledge
Excel
SQL
Programming basics
Advanced SQL
Structured finance
Programming languages
AI concepts awareness

Education

Finance/Data Analytics degree
Graduation 2027-2028
Full-time summer program 2027

Tools

VBA
Python
C++
C#

Job description

Moody’s is seeking motivated students for a 10-week summer internship in data operations in San Francisco. You’ll gain hands-on experience with data analysis, automation, and responsible AI practices while contributing to data quality and reliability across Moody’s products.

The program runs from June through August, with full-time hours and opportunities to network, receive mentorship, and develop professional and technical skills in a collaborative environment.

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