Quant Developer

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.

We apply AI and data-driven approaches to real-world financial use cases, including risk management, process optimization, and decision support, with a focus on delivering practical impact.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

Role Overview

You will support the senior systems architect and traders in building, optimizing, and maintaining the firm's real-time trading infrastructure. You will work on execution, quoting, risk systems, market-data handlers, and latency-critical components across multiple crypto derivatives exchanges. This role requires strong engineering fundamentals and hands-on experience with high-performance, event-driven systems

Key Responsibilities:

Implement latency-sensitive components of the market-making engine (market-data handlers, order routers, quoting logic)

Optimize latency, jitter, and throughput across real-time data pipelines and execution paths

Build and maintain exchange connectors (WebSocket, REST, FIX-like variants) with robustness and micro-latency considerations

Profile, debug, and optimize system performance in cloud-hosted environments

Develop internal monitoring tools for latency analytics (e.g., orders, market-data delays, queue states)

Tune garbage-collection behaviour, CPU pinning, async event loops, and other performance parameters

Assist in creating automated stress-testing and load-testing frameworks to simulate exchange conditions

Work closely with traders on strategy parameters, safeguards, and scenario testing

Requirements:

5+years of experience building low-latency applications

Strong programming ability in Python plus at least one performant systems language: Rust or C++

Experience building market-data handlers, quoting engines, internal order books & price caches

Familiar with low-latency techniques (lock-free, ring buffers, cache alignment etc.)

Hands-on experience with latency profiling and performance tuning SSTools

Understanding of network-level latency factors

Understanding of exchange microstructure: order types, funding, rate limit order book events, and trading halts

Experience with Docker, containerization, and automated deployments

Strong familiarity with Pub/Sub or stream-processing frameworks (Kafka, NAATS, Redis Streams, or custom)

Prior experience in a crypto or traditional market-making tech stack

Familiarity with CEX Api Quirks