Model Risk Analytics Intern — ML/Python

Federal Home Loan Bank of Indianapolis; Indianapolis (IN); Hybrid; USD 28,000 - 36,000; Full time

Benefits offered by this job

Training and mentoring programs

Job summary

The Federal Home Loan Bank of Indianapolis offers a spring/summer internship designed for students pursuing quantitative disciplines. You will support model validation, ML/AI benchmarking, data analysis, and reporting in a collaborative team environment.

Applicants should have a strong math/statistics background and be proficient in Python. This paid internship requires a minimum 20 hours per week during spring/fall and full-time in summer, with hybrid work eligibility and relocation

Qualifications

• Must be currently enrolled in a graduate degree program in quantitative fields.
• Strong mathematical/statistical background and analytical thinking required.
• Proficiency in Python or similar programming language.

Responsibilities

• Assist with model validations and performance monitoring for asset-liability management and risk models.
• Assist with development of benchmarking models including ML/AI models.
• Perform data ETL, analysis, visualization, and reporting.
• Conduct research on modeling topics and other duties as assigned.

Skills

Analytical thinking

Team collaboration

Effective communication

Mathematical/statistical background

Education

Graduate degree in Financial Engineering / Mathematical Finance / Statistics / Mathematics / Economics / CS

Tools

Python

Job description

The Federal Home Loan Bank of Indianapolis offers a spring/summer internship designed for students pursuing quantitative disciplines. You will support model validation, ML/AI benchmarking, data analysis, and reporting in a collaborative team environment.

Applicants should have a strong math/statistics background and be proficient in Python. This paid internship requires a minimum 20 hours per week during spring/fall and full-time in summer, with hybrid work eligibility and relocation