Systematic Credit Intern

American Century Investments® is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments. Privately controlled and independent, we focus solely on investment management. But there’s an unexpected side to us, too. We direct over 40% of our profits every year—more than $2 billion since 2000—to the Stowers Institute for Medical Research.

Our ongoing financial support drives the Institute’s breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer’s. So, the better we do for our clients, the more we can do for everyone. All 1,400 of us across the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway.

If you’re excited to learn more about us, we can’t wait to learn more about you.

The Global Fixed Income Group at American Century Investments is seeking a curious, analytically minded intern to help solve real-world investment problems using data, research, and code. Working alongside our systematic credit investment professionals, you will explore large financial datasets, test investment ideas, and contribute to research and security-selection models used in our investment process. We welcome applications from currently enrolled undergraduate and graduate students.

The Final date to receive applications is November 15, 2026.

Location:

this onsite position will be based out of our New York City, NY office.

Program dates:
June 2nd - August 6th (10 weeks)

Work schedule:

40 hours/week - Monday-Friday (8am-5pm)

• Own a research project from initial hypothesis and data analysis through testing, interpretation, and presentation.
• Work directly with quantitative researchers and portfolio managers to investigate investment signals and enhance systematic credit strategies.
• Analyze large financial and market datasets using Python.
• Explore potential projects such as developing investment signals, evaluating alternative datasets, improving portfolio-construction techniques, or testing enhancements to existing credit-selection models.
• Learn how quantitative research is translated into portfolio and security-selection decisions.
• Present your findings and recommendations to members of the investment team.

• Currently pursuing a bachelor’s or master’s degree in finance, economics, statistics, computer science, engineering, mathematics, or a related field.
• Experience using Python for data analysis.
• Attention to details, strong analytical and problem-solving skills.
• Interest in investing, financial markets, and data-driven research.
• Ability to communicate technical findings clearly and collaborate effectively with others.
• Intellectual curiosity, initiative, and a willingness to learn.
• Helpful, but Not Required Experience working with large financial or alternative datasets.
• Coursework or project experience in statistics, machine learning, econometrics, or portfolio analysis.
• Familiarity with fixed income or credit markets.

• How systematic investment teams generate, evaluate, and test research ideas.
• How financial data is cleaned, analyzed, and converted into investment signals.
• How quantitative models inform credit selection and portfolio decisions.
• How to communicate technical research to investment professionals.

• Competitive hourly pay and eligibility to contribute to a 401(k).
• A dedicated mentor who will provide…