Tower Research Capital Tech Stack

Quantitative trading firm building low-latency platforms and ML-driven strategies

Financial Services New York, NY 1,001–5,000 employees Founded 1998 Privately Held

Tower Research Capital is a quantitative trading shop with ~1,200 people across a dozen global offices, running a technology stack dominated by C++, Python, Java, and FPGA—the hardware-software pairing typical of ultra-low-latency finance. The project list (high-frequency trading platform, exchange simulators, post-trade reconciliation, low-latency production environment re-implementation) and pain-point focus (reducing latency, FPGA optimization, hardware acceleration, ML scaling) show an organization fighting hard against physics and market microstructure. Minimal hiring velocity (4 roles in 30 days across 79 open headcount) suggests they are well-staffed but selective.

Tech Stack 41 technologies

Core StackC++ Linux Java Python MySQL PostgreSQL MongoDB Elasticsearch NumPy Pandas Rust Go PyTorch TensorFlow Apache Airflow Workday Jira Confluence Perl Bash FPGA SQL Intel Polars Cython R Arista EOS Cisco NX-OS Cisco IOS Git+11 more

What Tower Research Capital Is Building

◆Challenges

Improving trading p&l
Machine learning
Low-latency programming
Hardware acceleration
Fpga technology
Reducing latency
Mitigating operational risk
Reducing operational burden
Scaling mid-frequency trading capabilities
Optimizing large-scale parallel computation

▲Active Projects

Historical market data access
Market data analysis tools
High-frequency trading platform
Risk-management tools
High-frequency trading algorithms
Exchange simulators
Developing post trade lifecycle reconciliation workflows
Core python data science platform
Middle office and back-office applications
Re-implementing cactus’s low-latency/high-throughput production trading environment

Hiring Activity

Minimal80 roles · 4 in 30d

Department

Engineering

Support

Research

Finance

Trading

Data

Legal

Seniority

Mid

Senior

Junior

Intern

Manager

Staff

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About Tower Research Capital

Tower Research Capital operates as a quantitative trading firm, deploying algorithmic strategies across global markets. The firm was founded in 1998 and has built its business around proprietary trading platforms and independent trading teams. The tech footprint—low-level systems languages (C++, Rust, Go), FPGA and Intel hardware support, market-data tools, exchange simulators, and middle/back-office applications—reflects a vertically integrated operation spanning execution infrastructure, risk management, and post-trade settlement. Offices span North America, Europe, Asia-Pacific, and Asia, with hiring activity in the United States, Canada, United Kingdom, Netherlands, France, Ireland, Australia, Singapore, India, and China.

HeadquartersNew York, NY

Company Size1,001–5,000 employees

Founded1998

Hiring MarketsNetherlands, India, Australia, China, United States, Canada, United Kingdom, France

Frequently Asked Questions

What tech stack does Tower Research use?

C++, Python, Java, Linux, FPGA, SQL (MySQL, PostgreSQL), MongoDB, Elasticsearch, NumPy, Pandas, PyTorch, TensorFlow, Apache Airflow, and networking (Cisco, Arista). The mix reflects both low-latency trading systems and data-science/ML infrastructure.

Where is Tower Research Capital headquartered?

New York City. The firm also operates offices in more than a dozen countries globally, including the Netherlands, India, Australia, China, Canada, UK, France, Ireland, and Singapore.