Unknown Company

Quantitative Developer Intern - Summer 2027

chicago, il • Posted 1 weeks ago
Onsite Full Time General

Quantitative Developer Intern - Summer 2027Tower 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 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.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.At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.Responsibilities:Architect and optimize performant low-latency trading and high-throughput training systemsWork extensively with traders and researchersCreating tools to analyze data for patternsMake market observations and conducting post-trade analysisDeveloping, augmenting, and calibrating exchange simulatorsOperate the team's high-frequency trading strategiesQualifications:Bachelor's, Master's, or PhD studentMajoring in computer science, mathematics, physics, electrical engineering, or related fieldsProficient in an object-oriented programming language (C++ and Python preferred)A working knowledge of Linux/UnixStrong problem-solving abilitiesA passion for new technologies and ideasThe ability to manage multiple tasks in a fast-paced environmentStrong communication skillsInterest in financial marketsPreferred Qualifications (not required):Past industry experienceExperience as a Teaching Assistant and/or participation in relevant OlympiadsFamiliarity with machine learning, data analysis, market research and data modelingAnticipated New York and Chicago weekly base salary range $3,500-5,700.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.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.Our benefits include:Competitive compensation packageHousing accommodationFree breakfast, lunch, and snacks dailyExciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)Opportunities to learn from senior management across the firmMentors from your alma mater and other top institutionsAt 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.Tower Research Capital is an equal opportunity employer.

Quantitative Developer Intern - Summer 2027 in chicago at Unknown Company

Typical pay
$71,760–$109,200

For context, most registered nurses earn between $71,760–$109,200 a year according to Bureau of Labor Statistics wage data. What this particular role pays is set by the employer — check the description above.

This position is listed as full time and onsite.

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