Market Making, Quantitative Developer

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.

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 behavior, 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:

• 8 years building low-latency trading systems
• Skilled in Python and C++/Rust
• Experience with market-data handlers, quoting engines, and order books
• Strong in latency optimization, performance tuning, and low-latency techniques
• Familiar with exchange microstructure, Pub/Sub frameworks, and Docker deployments
• Prior experience in crypto and traditional market-making stacks