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Quantitative Developer

Job description

Role Overview:

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).

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.