2027 DMFI Technology Intern

SchonfeldNew York, NY
$125,000 - $145,000

About The Position

We are excited to offer an opportunity for exceptional individuals to join the internship program at Schonfeld. You’ll spend ten weeks with an experienced technology team within the DMFI division where you will be immersed in the culture and atmosphere of Schonfeld, working alongside talented professionals on high profile projects. 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.

Requirements

  • Currently pursuing a degree in a technical or quantitative discipline.
  • Strong proficiency in Python; familiarity with Java is a plus.
  • Solid understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Coursework or a strong interest in capital markets and finance.

Nice To Haves

  • Exposure to real-time data-streaming technologies is highly advantageous.

Responsibilities

  • Collaborate with senior DMFI Technology developers to build high-performance software integrating with our analytics library.
  • Power live and historical market-data pipelines that directly enable Portfolio Managers to make critical, time-sensitive investment decisions.
  • Streaming Live Data: Process ticking market data from multiple providers, delivering it to users within milliseconds.
  • Optimizing Time-Series: Build highly efficient historical datasets optimized for rapid trading analysis.
  • Data Lifecycle Management: Enhance every stage of our data pipeline: ingest ➜ clean ➜ store ➜ analyze ➜ deliver.
  • Risk & P&L Visibility: Contribute to pipelines that give PMs real-time and historical visibility into their market exposures.
  • Production Ownership: Own a summer-long analytics project from conception to production deployment for active business use.

Benefits

  • learning and educational offerings
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