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Quant Developer

Job description

About our Client:
Our client focuses on financial trading software and technology, specifically dealing in US sotck, Options and Futures trading.


Key Responsibilities:

Design & Develop

  • Build ultra-low latency trading systems using modern C++ (C++17/20) and Python for US equities and crypto markets.
  • Implement efficient market data handlers, order execution gateways, and risk control modules.
  • Develop backtesting and simulation frameworks to support quant research and strategy development.



    Performance Optimization
  • Profile and tune code for sub-millisecond performance and high throughput.
  • Minimize network, kernel, and serialization overheads in critical execution paths.
  • Optimize order routing and feed handling for multiple venues and protocols (e.g., FIX, native APIs, WebSocket).



    Collaboration & Integration
  • Partner with quant researchers to integrate trading strategies into production systems.
  • Work closely with infrastructure teams on bare-metal deployments, low-latency networking, and time synchronization (e.g., PTP).



    Monitoring & Reliability
  • Build robust fault-tolerant systems with real-time logging, monitoring, and alerting.
  • Ensure high availability and disaster recovery mechanisms.
  • Work timing needs to cater to US trading hours (3pm to 12am Malaysia time)



    Key Requirements:



    Technical Skills
  • Expert-level C++17/20 and Python programming, including multi-threading, lockfree

    data structures, and template metaprogramming.
  • Experience with low-latency optimizations (NUMA, kernel bypass, RDMA, DPDK, 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.
  • Experience with real-time data processing and event-driven architectures.



    Quant & Trading Knowledge
  • Understanding of mid/high-frequency trading strategies, order types, and execution algorithms.
  • Familiarity with risk management and position tracking in real time.



    Infrastructure & Tooling
  • Proficiency in Linux systems programming and network programming.
  • Experience with build systems (CMake, Bazel), profilers, and debuggers (gperf, perf, valgrind).
  • Knowledge of cloud-native and on-prem deployments is a plus.



    Education & Experience
  • Bachelor's/Master's in Computer Science, Electrical Engineering, or related field.
  • 3-7 years of experience in low-latency trading systems or HPC environments.