Quantitative Research Internship

Algovant

New Jersey

On-site

USD 25,000 - 40,000

Full time

14 days+

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Job summary

Algovant in New Jersey is offering a Summer 2025 internship for a Quantitative Research Intern. This position provides hands-on experience in analyzing mortgage-backed securities market data, focusing on quantitative modeling and data analysis.

Ideal candidates are pursuing degrees in quantitative fields, graduating in 2026 or later, and possess strong skills in Python and statistical concepts. Join our innovative fintech team dedicated to transforming the structured finance technology landscape.

Qualifications

  • Are graduating 2026 or later.
  • Have strong problem-solving skills and attention to data integrity.
  • Have hands-on experience with Python and analytical libraries.

Responsibilities

  • Analyze loan-level mortgage data and borrower behavior trends.
  • Assist in developing and validating prepayment, delinquency, and credit risk models.
  • Build back-testing pipelines using Python for structured finance applications.

Skills

Problem-solving skills
Attention to data integrity
Curiosity about structured finance

Education

Pursuing a degree in Applied Mathematics, Statistics, Finance, or a related quantitative field

Tools

Python
NumPy
Pandas

Job description

Join our Quantitative Research team for hands‑on experience solving real‑world problems in financial data, with a focus on mortgage‑backed securities (MBS) market analysis and quantitative modeling.

Who We're Looking For

Algovant is seeking detail‑oriented and intellectually curious students to join our Quantitative Research team for the Summer 2025 internship program. If you have a strong interest in data analysis, fixed income, and quantitative modeling—especially in the mortgage‑backed securities (MBS) market—this role offers hands‑on experience solving real‑world problems in financial data.

What You'll Do

As a Quantitative Research Intern, you will work on cutting‑edge projects that directly impact our clients' decision‑making processes:

Data Analysis & Modeling
  • Analyze loan‑level mortgage data and borrower behavior trends
  • Assist in developing and validating prepayment, delinquency, and credit risk models
  • Build back‑testing pipelines using Python for structured finance applications
  • Collaborate with data scientists, engineers, and MBS domain experts
  • Contribute to research documentation and insights presentation
  • Participate in team meetings and strategic planning sessions
What's Required
We're looking for candidates who:
Education & Background
  • Are pursuing a degree in Applied Mathematics, Statistics, Finance, or a related quantitative field
  • Are graduating 2026 or later
  • Have strong problem‑solving skills and attention to data integrity
Technical Skills
  • Have hands‑on experience with Python and analytical libraries (e.g., NumPy, Pandas)
  • Understand basic statistical modeling and regression concepts
  • Are curious about structured finance, especially mortgage data
Who We Are

Algovant is a fintech company focused on transforming mortgage‑backed securities data through intelligent analytics and automation. We help clients streamline fragmented data pipelines and gain insights through unified, cloud‑based solutions.

Founded in 2023, our team blends expertise in capital markets, data engineering, and AI‑driven infrastructure. We’re building the future of structured finance technology.

We're an Equal Opportunity Employer

Algovant welcomes candidates from all backgrounds and does not discriminate on the basis of race, gender, religion, age, or any protected status. We believe diverse perspectives make us stronger.

Ready to Join Our Team?

Take the next step in your quantitative finance career. Apply now to join our Summer 2025 internship program.

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