Fixed Income Analytics Intern: Macro & Quant Tools

Schonfeld

New York (NY)

On-site

USD 50,000 - 80,000

Full time

9 days ago
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Job summary

Schonfeld is seeking a talented student to join its DMFI (Discretionary Macro and Fixed Income) team in New York. You will build high-impact tools for fixed income instruments and generate actionable trade ideas while deepening your understanding of quantitative techniques.

You will partner with and support a Fixed Income Team, analyzing large datasets and learning to apply macro and fixed income strategies to real-world decisions.

Qualifications

  • Bachelor’s student pursuing a degree in Mathematics, Computer Science, Financial Engineering, Economics or related quantitative field.
  • Interest in macro and fixed income markets and investment strategies.
  • Familiarity with Python, Excel and dashboard generation.
  • Strong mathematical and statistical modeling experience.
  • Comfort with analysis of large datasets, high-level attention to detail.

Responsibilities

  • Support Fixed Income Team within DMFI to build effective tools and analyze large datasets to generate actionable trade ideas.
  • Collaborate with a close-knit team, pairing with a manager and mentor to guide development over the internship period.
  • Assist in developing quantitative insights and decision-support for portfolio managers.

Skills

Mathematics
Computer Science
Financial Engineering
Economics
Python
Excel
Dashboard generation
Statistical modeling
Large dataset analysis

Education

Bachelor’s student pursuing a degree in Mathematics, Computer Science, Financial Engineering, Economics or related quantitative field

Tools

Python
Excel

Job description

Schonfeld is seeking a talented student to join its DMFI (Discretionary Macro and Fixed Income) team in New York. You will build high-impact tools for fixed income instruments and generate actionable trade ideas while deepening your understanding of quantitative techniques.

You will partner with and support a Fixed Income Team, analyzing large datasets and learning to apply macro and fixed income strategies to real-world decisions.

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