EMEA Graduate Quantitative Trader/Researcher 2026

Overview

EMEA Graduate Quantitative Trader/Researcher 2026 — Join to apply for the

EMEA Graduate Quantitative Trader/Researcher 2026

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Tower Research Capital .Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers solve challenging problems in low-latency programming, FPGA technology, hardware acceleration and machine learning, ensuring our platform remains unmatched in functionality, scalability and performance. At Tower, every employee plays a role in our success, with Business Support teams essential to building and maintaining the platform that powers trading, data, compute, risk management, compliance, and business services. Tower promotes a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.As a member of one of Tower’s trading teams, a Quantitative Trader / Researcher will use Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.Responsibilities

Designing, implementing, and deploying high or mid-frequency trading algorithmsWorking with a dedicated mentor to research and enhance existing trading strategiesExploring trading ideas by analyzing market dataCreating tools to analyze data for patternsContributing to libraries of analytical computations to support market data analysis and tradingQualifications

A Master’s and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or related fieldsA strong background in Python, C++Strong problem-solving abilitiesA passion for new technologies and ideasThe ability to manage multiple tasks in a fast-paced environmentStrong communication skillsBenefits

Generous paid time off policiesSavings plans and other financial wellness tools available in each regionHybrid working opportunitiesFree breakfast, lunch, and snacks dailyIn-office wellness experiences and reimbursement for select wellness expensesCompany-sponsored sports teams and fitness eventsVolunteer opportunities and charitable givingSocial events and continuous learning opportunitiesTower Research Capital is an equal opportunity employer.Details

Seniority level: InternshipEmployment type: Full-timeJob function: Finance and ..... full job details .....