Job Description – Quant Systems Developer (Low Latency Trading)
Overview
We are looking for a highly skilled Quant Systems Developer to design, build, and optimize mid- to high-frequency trading systems for US equities and cryptocurrency markets.
This is a hands-on engineering role where you will work closely with quant researchers, traders, and infrastructure engineers to deliver production-grade, ultra-low latency trading systems operating at microsecond-level performance.
Key Responsibilities
System Design & Development
- Build and optimize ultra-low latency trading systems using modern C++ (C++17 / 20).
- Develop market data handlers, order execution gateways, and risk management modules.
- Create backtesting and simulation frameworks to support quant research and strategy validation.
Performance Optimization
Profile and tune code for sub-millisecond execution and high throughput.Eliminate network, kernel, and serialization overheads in execution paths.Optimize order routing and feed handling across multiple venues and protocols (FIX, ITCH, OUCH, WebSocket, native APIs).Partner with quant researchers to bring strategies from research into production.Work with infrastructure teams on bare-metal deployments, low-latency networking, and time synchronization (PTP).Monitoring & Reliability
Build fault-tolerant, high-availability systems with real-time logging, monitoring, and alerting.Implement robust disaster recovery mechanisms for mission-critical trading operations.Requirements
Technical Skills
Expert in C++17 / 20, including multi-threading, lock-free data structures, and template metaprogramming.Strong experience with low-latency optimizations (NUMA, kernel bypass, RDMA, DPDK, TCP / UDP tuning).Deep knowledge of market microstructure for US equities and crypto.Familiar with market data protocols (ITCH, OUCH, FIX, WebSocket) and exchange APIs.Skilled in Linux systems programming and network programming.Hands-on experience with build systems (CMake, Bazel), profilers, and debuggers (perf, gperf, valgrind).Experience with real-time data processing and event-driven architectures.Understanding of mid- / high-frequency trading strategies and execution algorithms.Familiarity with risk management and real-time position tracking.Education & Experience
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.3–7 years of experience in low-latency trading systems or high-performance computing (HPC).Preferred (Nice to Have)
Experience with GPU acceleration (CUDA) or FPGA programming for ultra-low latency workloads.Proficiency in Python for integration scripts or data analysis.Knowledge of cryptography and blockchain protocols.Exposure to distributed systems and microservices architectures.Soft Skills
Strong problem-solving and debugging skills.Ability to thrive in a fast-paced, iterative development environment.Clear communication and teamwork across cross-functional teams.High ownership mentality with focus on reliability and performance.What We Offer
Opportunity to work on cutting-edge trading systems for global markets.Competitive package with performance-based bonuses.High-impact role in a fast-growing quantitative trading firm.Collaborative environment with quants, engineers, and researchers.Work Schedule
Must be available during US trading hours : 3 PM – 12 AM, Kuala Lumpur time.#J-18808-Ljbffr