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
- Architecting and improving our internal agentic harness according to the latest SOTA, enhanced memory handling, subagentic distribution, supporting the latest LLMs
- Implementing long-horizon support to enable autonomous coding tasks, performance improvements, and model building, ensuring the system functions effectively as a collaborative team member
- Integrating with and developing tools and MCP integrations for various systems at Tower
- Partnering with quantitative developers and researchers to identify and prioritize automation opportunities
- Making sure the system is compliant with the changing regulatory landscape and isolating the system from production
- Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
- 2–5 years of professional experience in software engineering, data science, or ML engineering
- Experience with open-source agentic frameworks (e.g., openclaw, hermes, langchain/langraph, opencode) and building custom agentic systems
- Deep understanding of distributed systems, memory maintenance for LLMs, and multi-agent orchestration
- Strong problem-solving skills and the ability to collaborate across quantitative dev and research
Anticipated New York annual base salary range $120,000- $200,000, plus eligible for bonus(es).
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 respected, and great ideas win.
Our benefits include:
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
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.
Tower Research Capital is an equal opportunity employer.
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
- 2-5 years of professional experience in software engineering, data science, or ML engineering
- Experience with open-source agentic frameworks such as OpenClaw, Hermes, LangChain, LangGraph, or OpenCode
- Experience building custom agentic systems
- Deep understanding of distributed systems
- Deep understanding of memory maintenance for LLMs
- Deep understanding of multi-agent orchestration
- Strong problem-solving and cross-functional collaboration skills
Tower Research Capital Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tower Research Capital and has not been reviewed or approved by Tower Research Capital.
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Strong & Reliable Incentives — Pay is considered competitive versus broader tech and finance markets, with strong base and bonus potential in quant research/trading and specialized engineering. Feedback suggests total compensation can be particularly attractive early in career and for revenue‑linked roles.
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Leave & Time Off Breadth — Paid time off is described as generous, with policies highlighting substantial annual vacation. Feedback suggests formal allowances are a notable part of the package.
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Wellbeing & Lifestyle Benefits — Complimentary in‑office meals, regular social events, donation matching, and professional development workshops are highlighted as everyday perks. Feedback suggests these cultural and lifestyle benefits are a consistent strength across materials.
Tower Research Capital Insights
What We Do
Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world.
