Model Risk Intern

Federal Home Loan Bank of Indianapolis (FHLBI)

Indianapolis, INFresher18m agovia LinkedIn

About the Role

The Federal Home Loan Bank of Indianapolis (FHLBank) is seeking motivated students for its 2027 Summer Internship Program. This 10-week paid internship offers hands-on technical experience, professional skill development, and networking opportunities. Interns will join a cohort of 11 across multiple departments, engaging in collaborative activities and working closely with their assigned teams. Interns must be located in Indianapolis and commit to a hybrid schedule (3 days in office/2 days remote).

Model Risk Team

The Model Risk team assesses the Bank’s model risk through validations, risk reviews, and ongoing analysis. They validate financial models to assess reasonableness, weaknesses, and risks, interacting with model owners and users to understand performance, development, and emerging risks.

Key Responsibilities

  • Support the validation of financial and statistical models.
  • Analyze complex datasets and create visualizations and reports.
  • Research emerging trends and best practices in modeling methodologies.
  • Perform additional tasks and projects as needed.
  • Apply problem-solving and communication skills to collaborate across teams and present analytical results.
  • Contribute to projects aligned with your field of study.
  • Gain exposure to the finance and banking industry.

Requirements & Tech Stack

  • Python or a similar programming language.

Qualifications

  • Actively enrolled in a graduate degree program.
  • Majoring in Financial Engineering/Mathematical Finance, Statistics, Mathematics, Economics, Computer Science, or similar quantitative disciplines.
  • Effective written and verbal communication skills.
  • Ability to work independently and in team settings.
  • Detail-oriented, organized, and eager to solve problems.
  • Strong mathematical/statistical/machine learning background.
  • Understanding of finance and financial models.
  • Hands-on experience with AI use cases is desired.

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