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Quantitative Developer

Quantitative Developer

Ambition GroupKuala Lumpur, Kuala Lumpur, Malaysia
3 hari lalu
Penerangan pekerjaan

Our client focuses on financial trading software and technology. We are seeking a highly skilled Low Latency Quant Systems Developer to design, build, and optimize mid- to high-frequency trading systems for US equities and cryptocurrency markets .

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).
  • 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.
  • 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.

    • #J-18808-Ljbffr

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