2026 DMFI PhD Quantitative Research Summer Internship - London at Schonfeld

London, England, United Kingdom

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Finance, Quantitative TradingIndustries

Requirements

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 calculus) and statistics
The ability to communicate research ideas clearly and succinctly
Creative problem-solving skills
Strong attention to detail

Responsibilities

Implement and optimize pricing models for various financial instruments
Develop robust numerical methods for derivatives valuation
Ensure the 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
Contribute to the design and implementation of pricing models, numerical methods, and the core analytics library that powers trading decisions across multiple asset classes

Skills

Key technologies and capabilities for this role

PythonCC++C#RustStochastic CalculusProbabilityStatisticsNumerical MethodsPricing ModelsDerivatives ValuationAlgorithm DesignRisk Computation

Questions & Answers

Common questions about this position

What is the location for this internship?

The internship is based in the London metro area.

What is the duration of the internship?

The program runs for 10 weeks.

What skills are required for this Quantitative Research Intern role?

Candidates need to be current PhD students in quantitative fields like statistics, mathematics, physics, or electrical engineering, with excellent programming skills in Python, C, C++, C#, or Rust, strong knowledge of probability and statistics, clear communication skills, creative problem-solving, and strong attention to detail.

What is the team culture like at Schonfeld for interns?

Interns join a close-knit team with a dedicated manager and mentor for guidance, opportunities to connect with senior leaders, attend workshops and social events, and collaborate on impactful projects.

What makes a strong candidate for this PhD Quantitative Research internship?

Ideal candidates are current PhD students with one year left in quantitative fields, excellent programming skills, strong probability and statistics knowledge, plus nice-to-haves like previous financial experience or an advanced degree.

Schonfeld

Multi-manager investment platform for diverse strategies

About Schonfeld

Schonfeld Strategic Advisors is a multi-manager investment platform that invests capital with internal and partner portfolio managers across four main strategies: quantitative, fundamental equity, tactical trading, and discretionary macro & fixed income. The firm provides portfolio managers with the autonomy and support needed to maximize their business potential while leveraging proprietary technology and risk analytics to identify market opportunities. Schonfeld serves institutional investors and high-net-worth individuals, focusing on generating returns through strategic investments and effective risk management. Its goal is to capitalize on market inefficiencies and expand its investment strategies globally.

New York City, New YorkHeadquarters

1988Year Founded

$1,464MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Performance Bonus

Professional Development Budget

Risks

Departure of key Asia personnel may disrupt regional operations and growth.

New stakes in various companies expose Schonfeld to market volatility and sector risks.

New CTO appointment may lead to strategic shifts impacting current operations.

Differentiation

Schonfeld invests in diverse strategies: quantitative, fundamental equity, tactical trading, and macro.

The firm leverages proprietary technology and risk analytics for market opportunities.

Schonfeld offers global exposure across Americas, Europe, and Asia with multiple asset classes.

Upsides

AI-driven trading enhances Schonfeld's quantitative strategies and risk analytics.

Thematic ETFs in tech and healthcare offer high-growth investment opportunities for Schonfeld.

Alternative data integration provides Schonfeld competitive advantages in market insights.

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