Low Latency Market Making Engineer
Posted 13 Aug 2026
Advertised as “Low Latency MM Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Full-time
- Visa sponsorship
- Not offered
No salary listed for this role.
Field of studyBusiness, Computer Science, Data Science, Economics, Engineering, Mathematics (or related)
Study levelBachelor's
About G20 Group
G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance.
Role Overview
We are hiring for a Low Latency Market Making Engineer to design, build, and continuously optimize the systems responsible for quote generation and order execution within microsecond-level latency tolerances. This role sits combines deep knowledge of software engineering, hardware, and market microstructure, and requires close collaboration with traders and quantitative researchers to translate strategy requirements into production systems capable of achieving favorable queue position across trading venues.
Responsibilities
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Design, build, and maintain ultra-low-latency market making systems, including order entry, market data processing, risk controls, and quote and order management functionality
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Continuously profile and optimize the tick-to-trade path, from network interface through kernel to application, with close attention to CPU cache behavior, memory layout, branch prediction, and lock-free data structures
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Collaborate with hardware engineers, or develop FPGA logic directly depending on background, to minimize latency in critical-path processing
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Own exchange connectivity, including implementation and maintenance of FIX, ITCH/OUCH, or proprietary binary protocols for order entry and market data feeds
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Partner with traders and quantitative researchers to implement and calibrate quoting logic, risk controls, and inventory management in production environments
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Build and maintain simulation, backtesting, and replay infrastructure to validate strategy and system changes prior to live deployment
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Monitor live trading systems, diagnose latency regressions and operational anomalies in real time, and lead root-cause resolution efforts
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Contribute to capacity planning and infrastructure decisions relating to co-location, network topology, and hardware upgrades
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Uphold rigorous engineering standards, including code review, testing, deployment safety, and change management practices appropriate for systems executing live capital.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, or a related field, top-tier university preferred