INTERNSHIP DETAILS
Quantitative Researcher Intern
CompanyTower Research Capital
LocationNew York
Work ModeOn Site
PostedFebruary 4, 2026

Internship Information
Core Responsibilities
Research high or mid-frequency trading algorithms and enhance existing trading strategies. Analyze market data to explore trading ideas and create tools for data pattern analysis.
Internship Type
full time
Company Size
1372
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Tower Research Capital is a leading quantitative trading firm that 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. At Tower, employees find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower is headquartered in New York City and employs approximately 1,200 people in more than a dozen offices globally. To learn more, visit www.tower-research.com
Capital de Recherche Tower est une société de négoce quantitatif qui a bâti ses activités sur une plateforme de haut rendement et des équipes de négociation indépendantes. Nous comptons 25 ans d’expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. À Tower, les employés trouvent un environnement stimulant et axé sur les résultats où des collègues très intelligents et motivés s’inspirent mutuellement pour atteindre leur plus grand potentiel. Le siège social de Tower est situé à New York et compte environ 1,200 personnes dans plus d’une douzaine de bureaux à l’échelle mondiale. Pour en savoir plus, visitez le site www.tower-research.ca.
About the Role
<p>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.</p>
<p>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. </p>
<p>Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.</p>
<p>At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.</p>
<p>At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.</p>
<p><span style="text-decoration: underline;"><strong>Responsibilities</strong></span></p>
<ul>
<li>Researching high or mid-frequency trading algorithms or signals</li>
<li>Working with a dedicated mentor to research and enhance existing trading strategies</li>
<li>Exploring trading ideas by analyzing market data.</li>
<li>Creating tools to analyze data for patterns</li>
<li>Contributing to libraries of analytical computations to support market data analysis and trading</li>
</ul>
<p><span style="text-decoration: underline;"><strong>Qualifications</strong></span></p>
<ul>
<li>Availability for 4-5 months</li>
<li>A Master's and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or related fields</li>
<li>A strong background in Python</li>
<li>Strong problem-solving abilities</li>
<li>A passion for new technologies and ideas</li>
<li>The ability to manage multiple tasks in a fast-paced environment</li>
<li>Strong communication skills</li>
</ul>
<p>Anticipated New York weekly base salary range $3,000-$5,500.</p>
<p>Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. </p>
<p>At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.</p>
<p><strong><span style="text-decoration: underline;">Our benefits include:</span></strong></p>
<ul>
<li>Competitive compensation package</li>
<li>Free breakfast, lunch, and snacks daily</li>
<li>Opportunities to learn from senior management across the firm</li>
<li>Mentors from your alma mater and other top institutions</li>
</ul>
<p>At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.</p>
<p>Tower Research Capital is an equal opportunity employer.</p>
Key Skills
PythonProblem-SolvingData AnalysisTrading AlgorithmsMarket Data AnalysisMachine LearningCommunicationFast-Paced Environment
Categories
Finance & AccountingData & AnalyticsEngineeringScience & ResearchTechnology
Benefits
Competitive Compensation PackageFree Breakfast, Lunch, And Snacks DailyOpportunities To Learn From Senior Management Across The FirmMentors From Your Alma Mater And Other Top Institutions
Prep Tools
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YOUR PERSONALIZED PREP ROADMAP
0-2 Quantitative Researcher Intern
Interview Prep Plan
1
Week 1:Technical Foundations2
Week 2:Python3
Week 3:System DesignFREE
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