TL;DR

Algorithmic Trading Low Latency Developer (Fintech): Design and implement Algorithmic Trading solutions using a hybrid of high-performance C++ and FPGA hardware, enabling deterministic execution and rapid interaction with the markets with an accent on achieving Low-Latency Networking using Kernel Bypass techniques. Focus on architecting cycle-accurate FPGA designs and high-speed network interfaces.

Location: Hong Kong SAR

Company

%hirify_global% is a leading and truly global wealth manager and the leading universal bank in Switzerland.

What you will do

Design and implement Algorithmic Trading solutions for Low Latency using C++ and FPGA.
Architect solutions to achieve Low-Latency Networking using Kernel Bypass techniques.
Interface C++ applications with FPGA hardware for real-time orchestration.
Analyze system performance and resolve latency bottlenecks.
Increase automated testing including simulation and verification frameworks to achieve continuous delivery and reliability.
Collaborate with the other Dev Teams, Quants, Product, and the Trading Desk.

Requirements

Degree in Computer Science, Electrical Engineering, or related field.
7+ years in Low Latency C++ and FPGA (Verilog/VHDL).
Expert in C++17/20/23, Linux system programming, concurrency.
Deep knowledge of FPGA toolchains (Vivado, Quartus), timing closure and able to drive full FPGA design flow (synthesis, place & route, timing closure).
Experience with high-speed networking and hardware acceleration.
Experience in Algo Trading & SOR Development is expected.

Nice to have

Familiarity with Market Microstructure and Trading Protocols (FIX, ITCH) is a plus.

Culture & Benefits

Collaboration at the heart of everything.
Dedicated to our craft and passionate about putting our people first.
New challenges, a supportive team, opportunities to grow and flexible working options when possible.
Inclusive culture brings out the best in our employees, wherever they are on their career journey.
Use artificial intelligence (AI) to work smarter and more efficiently.