Tower Research Capital
Posted 91 days agoVerified live 1d ago
Quantitative Developer Intern - Summer 2027
Brief overview
New York, NYIn-person
UndergradOr in progress
$4k–$6k/wkStated range
78 H-1B approvalsDept. of Labor
25 green cardsCertified filings
Bachelor's, Master's, or PhD studentA working knowledge of Linux/UnixStrong problem-solving abilitiesStrong communication skillsInterest in financial marketsPast industry experience
About the company
Tower Research Capitaltower-research.com
Tower Research Capital is a leading quantitative trading firm that has built its business on a high-performance platform and independent trading teams.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.78H-1B approved
98%approval rate
35new H-1B hires
25PERM certified
$170,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202325
202423
202527
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20238
20245
20259
20263
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20235
20244
202516
Top sponsored roles
Quantitative TraderQuantitative ResearcherAlgorithmic TraderSenior Reliability EngineerSoftware Engineer III
Sponsored employees from
IndiaChinaCzech Republic
Job description
Summary
Tower Research Capital is a leading quantitative trading firm known for its innovative approach and high-performance platform. The Quantitative Developer Intern will work on developing electronic trading infrastructure, collaborating with traders and researchers to optimize trading systems and analyze data.
Responsibilities
- Architect and optimize performant low-latency trading and high-throughput training systems
- Work extensively with traders and researchers
- Creating tools to analyze data for patterns
- Make market observations and conducting post-trade analysis
- Developing, augmenting, and calibrating exchange simulators
- Operate the team’s high-frequency trading strategies
Skills
- Bachelor's, Master's, or PhD student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
- Past industry experience
- Experience as a Teaching Assistant and/or participation in relevant Olympiads
- Familiarity with machine learning, data analysis, market research and data modeling
Qualifications
Must Haves
- Bachelor's, Master's, or PhD student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
Nice to Haves
- Past industry experience
- Experience as a Teaching Assistant and/or participation in relevant Olympiads
- Familiarity with machine learning, data analysis, market research and data modeling
Benefits
- Competitive compensation package
- Housing accommodation
- Free breakfast, lunch, and snacks daily
- Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes)
- Opportunities to learn from senior management across the firm
- Mentors from your alma mater and other top institutions
