GTS is an electronic market-making firm trading equities, ETFs, fixed income, futures and FX from New York. Its stack pairs C++ and kdb+ with a full hardware design toolchain (Verilog, SystemVerilog, UVM, cocotb, Xilinx, Synopsys, Cadence), pointing to in-house FPGA development for latency-critical feed handling and book building. Current hiring tilts unusually toward finance, alongside close-cycle automation work, while overall hiring pace is slowing.
GTS is a privately held electronic market maker headquartered in New York, NY, with 201–500 employees and offices across the U.S. and Europe. The firm provides liquidity across global equities, ETFs, fixed income, futures and FX, and acts as a Designated Market Maker for NYSE-listed companies. It also runs retail and ETF market making, agency execution and institutional trading services. Its proprietary systems are built primarily in C++, Python, Java and Go, with kdb+ for market data and Arista and Cisco networking. Hiring spans the United States, United Kingdom, Poland and Uruguay.
GTS uses C++, Python, Java and Go, kdb+ for data, Verilog, SystemVerilog and VHDL with Xilinx, Synopsys and Cadence tools for FPGA work, Arista and Cisco networking, Bloomberg, and Sage Intacct for finance.
Yes. GTS job posts reference a high-performance FPGA platform, and its stack includes Verilog, SystemVerilog, UVM, cocotb and Xilinx hardware, supporting low-latency feed handlers and book building.
GTS hires in the United States, United Kingdom, Poland and Uruguay, with current openings concentrated in finance and engineering, plus operations, research and sales.
Other companies in the same industry, closest in size
GTS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
