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Jobs / Quantitative Analyst in United Kingdom
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Schonfeld·16 hours ago
16 hours agoBe an early applicant

2027 DMFI Quant Research Intern

London, United KingdomInternshipEntry · 1+ yearsQuantitative Analyst

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Must-have skills for this role

  • python
  • probability
  • statistics
  • stochastic calculus

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Apply faster with autofill FREEschonfeld uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Implement and optimize pricing models for various financial instruments, develop robust numerical methods for derivatives valuation, and ensure our analytics library meets the performance requirements of real-time trading systems.
  • Design efficient algorithms for calibration, risk computation, and scenario analysis, while maintaining mathematical rigor and computational efficiency.
  • Collaborate with senior quants and developers to understand the full lifecycle of quantitative library development, from mathematical theory to production deployment.

What they're looking for

  • Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering (ideally with one year left in your academic program)
  • Excellent programming skills in languages such as Python, C, C++, C#, Rust…
  • Strong knowledge of probability (e.g. stochastic calculous) and statistics.
  • The ability to communicate research ideas clearly and succinctly.
  • Creative problem-solving skills
  • Strong attention to detail

Nice to have

  • Previous financial industry experience although it is not required
  • An advanced degree in a quantitative or technical field

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

The Role 

We are seeking exceptional PhD candidates to join our Quant Resource team in the London metro area where they will work with other Quant Researchers and Quant Developers on building and enhancing our firm-wide pricing and analytics infrastructure. Interns will contribute to the design and implementation of pricing models, numerical methods, and the core analytics library that powers trading decisions across multiple asset classes. 

This is an opportunity to build foundational tools that directly impact our quantitative trading business and support its growth and diversification. 

What You’ll Do   

As a Quantitative Researcher Intern you will be directly responsible for advancing our pricing and analytics capabilities. You will implement and optimize pricing models for various financial instruments, develop robust numerical methods for derivatives valuation, and ensure our analytics library meets the performance requirements of real-time trading systems. 

You will design efficient algorithms for calibration, risk computation, and scenario analysis, while maintaining mathematical rigor and computational efficiency. 

Over the 10-week internship program, you will collaborate with senior quants and developers to understand the full lifecycle of quantitative library development, from mathematical theory to production deployment. 

Additionally, you'll get the opportunity to network and socialize with peers throughout the internship. 

What You Need: 

  • Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering (ideally with one year left in your academic program) 
  • Excellent programming skills in languages such as Python, C, C++, C#, Rust… 
  • Strong knowledge of probability (e.g. stochastic calculous) and statistics. 
  • The ability to communicate research ideas clearly and succinctly. 
  • Creative problem-solving skills 
  • Strong attention to detail 

We’d Love if You Had: 

  • Previous financial industry experience although it is not required 
  • An advanced degree in a quantitative or technical field 

 

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.  

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. 

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.  

Company

Schonfeld
London, United Kingdom

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from schonfeld's careers site·first seen 9 Sept 2026·last verified 9 Sept 2026·How we source jobs

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