2027 DMFI Intern

Skills this role screens for

The work

The Role

We are seeking a talented individual to join our DMFI (Discretionary Macro and Fixed Income) business in the New York office. You will join a small, high-impact team within DMFI Strategies focused on data-driven analysis across fixed income and macro markets. The team combines deep market intuition with rigorous quantitative methods to identify relative value opportunities in rates and broader fixed income. You will work directly alongside the Portfolio Manager and gain significant exposure to live trading, macro analysis, and the end-to-end investment process.

The work

What you’ll do

• Build and maintain fixed income analytics, valuation tools, and relative value frameworks used in idea generation and portfolio monitoring.
• Develop research pipelines and production-quality tooling for data ingestion, analytics, backtesting, and risk analysis.
• Analyse relative value opportunities across rates and fixed income markets using quantitative and statistical techniques.
• Work with the PM to formalise trading intuition into quantitative models and repeatable research processes.
• Improve the robustness, scalability, and maintainability of the team's codebase and analytical stack.

Also

What you’ll bring

Also

What you need

Our Internship

Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

• Currently pursuing a highly quantitative disciplined degree.
• Strong Python programming skills with significant experience on data-driven projects (data manipulation, visualisation, statistical modelling).
• Solid grounding in quantitative analysis techniques — you are comfortable with statistics, linear algebra, and numerical methods.
• Genuine enthusiasm for financial markets, particularly fixed income and macro.
• Excellent attention to detail, intellectual curiosity, and strong communication skills.
• A software engineering mindset — you care about code quality, testing, and maintainability.

The company

Who We Are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Also

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The annual base pay for this role is expected to be between $50,000 and $60,000 which will be prorated based on internship start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, experience, and level of education.