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Tower Research Capital Tech Stack
Quantitative trading firm with custom infrastructure for algorithmic execution
Tower Research Capital is a quantitative trading shop operating a vertically integrated technology stack built around low-latency execution and parallel computation. The engineering footprint (36 of 72 active roles) is paired with heavy systems-layer investment—Verilog, SystemVerilog, FPGA, and custom ethernet stacks—alongside Python, C++, and ML frameworks (PyTorch, TensorFlow). Pain points centered on latency minimization, hardware acceleration, and build-speed optimization signal an organization pushing against physical and computational limits to maintain edge in high-frequency markets.
Tech Stack 81 technologies
Core StackPython C++ Go Java Rust NumPy Pandas Oracle SAP MongoDB PyTorch TensorFlow MySQL PostgreSQL Elasticsearch Docker Verilog SystemVerilog VHDL FPGA DLP Bash PowerShell Polars Ariba DHCP LDAP DNS NFS Intel+51 more
AdoptingBazel CMake
What Tower Research Capital Is Building
◆Challenges
- Machine learning
- Low-latency programming
- Minimizing latency
- Reducing operational burden
- Mitigating operational risk
- Developing large-scale parallel computation
- Trading infrastructure management challenges
- Hardware acceleration
- Reducing failure rates
- Optimizing build speed
▲Active Projects
- Historical market data access systems
- High-frequency trading platform development
- Ethernet communication stack
- Algorithmic trading strategy development
- Large-scale parallel computation optimization
- Tick by tick backtesting research platform
- Risk-management and performance-tracking tools
- Data analysis tool creation
- Improve simulation/backtest framework
- Build robust and scalable quantitative research methods, tools and platforms
Hiring Activity
70 roles · 70 in 30d
Department
Seniority
Company intelligence