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G-20 Group

Low Latency MM Engineer

London
Posted about 22 hours ago
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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

  • Design, build, and maintain ultra-low-latency market making systems, including order entry, market data processing, risk controls, and quote and order management functionality
  • 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
  • Collaborate with hardware engineers, or develop FPGA logic directly depending on background, to minimize latency in critical-path processing
  • Own exchange connectivity, including implementation and maintenance of FIX, ITCH/OUCH, or proprietary binary protocols for order entry and market data feeds
  • Partner with traders and quantitative researchers to implement and calibrate quoting logic, risk controls, and inventory management in production environments
  • Build and maintain simulation, backtesting, and replay infrastructure to validate strategy and system changes prior to live deployment
  • Monitor live trading systems, diagnose latency regressions and operational anomalies in real time, and lead root-cause resolution efforts
  • Contribute to capacity planning and infrastructure decisions relating to co-location, network topology, and hardware upgrades
  • Uphold rigorous engineering standards, including code review, testing, deployment safety, and change management practices appropriate for systems executing live capital.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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
  • Strong proficiency in C++ (modern C++17/20 preferred), with the ability to reason about assembly output and compiler behavior
  • Thorough understanding of computer architecture, including CPU caches, NUMA, memory ordering, and kernel bypass networking technologies (e.g., Solarflare/OpenOnload, DPDK, or comparable solutions)
  • Experience with low-latency networking and associated protocols (TCP/UDP internals, multicast, kernel bypass) as well as exchange connectivity protocols such as FIX, ITCH, or OUCH
  • Solid understanding of Linux internals, including scheduling, interrupt handling, NUMA pinning, and huge pages, with demonstrated experience tuning production systems at the operating system level
  • Working knowledge of market microstructure, including order books, matching engine behavior, queue position, adverse selection, and inventory risk management practices employed by market makers
  • Experience with FPGA development (Verilog/VHDL) is advantageous, though not a strict requirement for all candidates
  • Demonstrated experience working on systems where microsecond- or nanosecond-level performance was critical, such as high-frequency trading, market making, exchange technology, or comparable latency-sensitive domains (telecommunications, high-performance computing, real-time systems)
  • Strong debugging and profiling capabilities using tools such as perf, VTune, or custom tracing and timestamping infrastructure
  • Strong communication skills and the ability to collaborate effectively with trading personnel under time-sensitive conditions during market hours.

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Preferred / Desirable Experience

  • Experience building or tuning matching engines or exchange-side systems
  • Exposure to FPGA-based trading systems or programmable networking hardware (e.g., Solarflare, Exablaze, Arista MetaWatch)
  • Prior experience at a market making firm, high-frequency trading firm, or exchange technology vendor.

Locations and Right to work

This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply.

Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

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Skills

C++
Low Latency
Market Microstructure
Linux Internals
FPGA
FIX Protocol
ITCH/OUCH
Computer Architecture
Kernel Bypass
Multithreading
Performance Profiling
Trading Systems
Network Programming
Simulation
Backtesting
Risk Management

Location

London, England, United Kingdom

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