2026 PhD Quant Research Summer Intern - London at Schonfeld

London, England, United Kingdom

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Quantitative FinanceIndustries

Requirements

Current PhD student in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program)
Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R
Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP)
The ability to communicate research ideas clearly and succinctly
Creative problem-solving skills and experience working with real-world datasets
Strong attention to detail

Responsibilities

Work with researchers and developers on research projects, including design of novel predictive signals and enhancement of algorithms for prediction, trade execution, portfolio construction, and risk management
Contribute to all facets of running a successful quantitative trading business
Further alpha research by understanding the economics of a fundamental domain and insights from associated alternative data offerings
Identify compelling differentiating factors, design novel predictive signals, backtest and validate hypotheses
Collaborate with senior team members to learn quantitative research skills
Network and socialize with peers throughout the internship

Skills

Key technologies and capabilities for this role

PythonC++CJavaSQLRMachine LearningTime Series AnalysisProbabilityStatistics

Questions & Answers

Common questions about this position

What is the location for this internship?

The internship is based in the London metro area.

What are the required skills for this Quantitative Research Intern role?

Candidates need to be current PhD students in quantitative fields like statistics, mathematics, physics, electrical engineering, or computer science, with excellent programming skills in Python, C, C++, Java, SQL, or R, strong knowledge of probability and statistics including machine learning and time-series analysis, clear communication skills, creative problem-solving, and attention to detail.

How long is the internship program?

The internship lasts 10 weeks.

What is the company culture like for interns at Schonfeld?

Interns join a close-knit team with a dedicated manager and mentor for guidance, opportunities to collaborate with senior members, network with peers, and connect with senior leaders through learning sessions.

What compensation or salary is offered for this internship?

This information is not specified in the job description.

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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