Jobs / United States / Tower Research Capital LLC
Quantitative Researcher (Mulitple Openings)
Tower Research Capital LLC · 🇺🇸 New York, New York
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Tower Research Capital LLC paid sponsored hires in similar roles22 certified filings for “Quantitative Researcher” (Financial Quantitative Analysts) in NY: $125k–$152k, median $150k. Most were filed at wage level I (82%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Tower Research Capital LLC
The US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Tower Research Capital LLC →
About the role
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 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 • Designing, implementing and deploying trading algorithms • Researching high to mid frequency alphas • Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns • Creating tools to analyze data for patterns and developing data platforms • Contributing to libraries of analytical computations to support market data analysis and trading • Developing, augmenting and calibrating exchange simulators • Integrating market intuition and discretionary oversight to manage live execution Qualifications • PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field • Skills with the following required: • Deep Learning (Neural Architectures), specifically Generative Models or Reinforcement Learning • Applied Mathematics, specifically Calculus, Linear Algebra, and Optimization Theory • Statistics, specifically Interference and Signal Processing, Advanced Time-Series Analysis, Information Theory, or Statistical Arbitrage • Back-testing, simulation, and statistical techniques including auto-regression, auto-correlation and Principal Component Analysis • Data mining and analysis skills, including experience dealing with a large amount of data/tick data • Signal generation and statistical models • Programming skills in Python and C++ • Experience may be gained in paid and unpaid positions • Skills may be gained through academic coursework and concurrently while pursuing academic studies Anticipated New York annual base salary range $150,000.00 to $250,000.00 per year, plus eligible for discretionary bonus. If interested, in addition to applying here you can email your resume indicating job # ID 00098198 to: Tower HR at us-ta@tower-research.com . Benefits 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 r