Quantitative Developer

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Links International Full time 120,000 - 240,000 per year

Responsibilities

  • Design and develop ultra-low latency trading systems in
    C++17/20
    for US equities and cryptocurrency markets
  • Implement efficient market data handlers, order execution gateways, and real-time risk control modules
  • Build simulation and backtesting frameworks to support quant research and strategy development
  • Optimize system performance for
    sub-millisecond latency
    and high throughput
  • Minimize network, kernel, and serialization overheads in critical execution paths
  • Enhance order routing and feed handling across multiple venues and protocols (e.g., FIX, native APIs, WebSocket)
  • Collaborate with quant researchers to integrate trading strategies into production systems
  • Partner with infrastructure teams on bare-metal deployments, low-latency networking, and time synchronization (e.g., PTP)
  • Develop fault-tolerant systems with real-time logging, monitoring, and alerting
  • Ensure high availability and disaster recovery mechanisms

Requirements

  • 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)
  • Expert-level proficiency in
    C++17/20
    , including multi-threading, lock-free data structures, and template metaprogramming
  • Experience with low-latency optimizations:
    NUMA, RDMA, DPDK, kernel bypass, TCP/UDP tuning
  • Strong understanding of market microstructure for US equities and crypto venues
  • Familiarity with market data protocols:
    ITCH, OUCH, FIX, WebSocket APIs
    , and exchange-specific APIs
  • Skilled in real-time data processing and event-driven architectures
  • Knowledge of mid/high-frequency trading strategies, order types, and execution algorithms
  • Experience with real-time risk management and position tracking
  • Proficiency in Linux systems and network programming
  • Familiarity with build systems (CMake, Bazel), profilers (gperf, perf), and debuggers (valgrind)
  • Bonus: Experience with
    CUDA, FPGA
    , Python scripting, blockchain protocols, and distributed systems
  • Strong problem-solving, debugging, and cross-functional communication skills
  • High ownership mentality with a focus on performance and reliability

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