
IMC · Sydney
IMC is looking for a highly skilled Quantitative Microstructure Analyst to join our Performance team in Sydney. Quantitative Microstructure Analyst's at IMC col...
IMC is looking for a highly skilled Quantitative Microstructure Analyst to join our Performance team in Sydney. Quantitative
Microstructure Analyst's at IMC collaborate with other teams, both technical and non-technical, to handle everything from
optimising exchange connectivity to analysing application performance to designing systems for handling massive amounts of data.
If it’s a hard problem, it’s in scope.
performance.
low-latency trading systems on financial exchanges.
solutions.
While not all of the below is required, a deep understanding in at least one of the following areas would be an advantage
ultra-low latency environments.
environment
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989,
we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across
our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business
operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to
diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
ABOUT US GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage. Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next. ABOUT THE ROLE As a Quant Trader, you will be at the forefront of creating innovative models and algorithms in the dynamic world of digital assets. Your work will involve generating insights into cryptocurrency market behaviour and developing state-of-the-art automated trading algorithms. You may analyse market microstructure to enhance existing algorithm performance, design or develop advanced computing architectures, and implement new trading strategies. Your contributions will help solve complex business problems using quantitative and technological techniques. Specific responsibilities could include: * analysing market data to improve existing trading algorithms; * designing complex computer system architectures; * creating new data-driven trading models and algorithms. RESPONSIBILITIES * Develop and implement cutting-edge automated trading algorithms tailored for cryptocurrency markets. * Conduct in-depth research and analysis to improve trading strategies and risk-management techniques. * Discover patterns through research and translate them into trading signals, validating them through our backtesting environment and rigorous performance analysis. * Collaborate with a team of experts to build solutions for automated trading in a rapidly evolving market. * Continuously stay informed about emerging trends and technologies in crypto and apply these insights to your work. YOUR PROFILE * A degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. * Excellent logical reasoning and analytical skills. * Experience writing code to process and analyse large datasets. * Proficiency in software development and engineering principles. PREFERRED QUALIFICATIONS * Prior experience in electronic trading—ideally within FX or futures—as a developer or researcher. * Strong software-development skills, particularly in lower-level languages and Python. * Familiarity with the unique aspects of cryptocurrency markets and blockchain technology. WHAT WE OFFER * A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. * Benefits including healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office. * A hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Málaga. * Regular town halls, team lunches, offsites, and social events. * A strong Corporate and Social Responsibility programme, including charity matching and volunteer days. * Immigration and relocation support where required.
ABOUT US GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage. Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next. ABOUT THE ROLE As a Quant Trader, you will be at the forefront of creating innovative models and algorithms in the dynamic world of digital assets. Your work will involve generating insights into cryptocurrency market behaviour and developing state-of-the-art automated trading algorithms. You may analyse market microstructure to enhance existing algorithm performance, design or develop advanced computing architectures, and implement new trading strategies. Your contributions will help solve complex business problems using quantitative and technological techniques. Specific responsibilities could include: * analysing market data to improve existing trading algorithms; * designing complex computer system architectures; * creating new data-driven trading models and algorithms. RESPONSIBILITIES * Develop and implement cutting-edge automated trading algorithms tailored for cryptocurrency markets. * Conduct in-depth research and analysis to improve trading strategies and risk-management techniques. * Discover patterns through research and translate them into trading signals, validating them through our backtesting environment and rigorous performance analysis. * Collaborate with a team of experts to build solutions for automated trading in a rapidly evolving market. * Continuously stay informed about emerging trends and technologies in crypto and apply these insights to your work. YOUR PROFILE * A degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. * Excellent logical reasoning and analytical skills. * Experience writing code to process and analyse large datasets. * Proficiency in software development and engineering principles. PREFERRED QUALIFICATIONS * Prior experience in electronic trading—ideally within FX or futures—as a developer or researcher. * Strong software-development skills, particularly in lower-level languages and Python. * Familiarity with the unique aspects of cryptocurrency markets and blockchain technology. WHAT WE OFFER * A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. * Benefits including healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office. * A hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Málaga. * Regular town halls, team lunches, offsites, and social events. * A strong Corporate and Social Responsibility programme, including charity matching and volunteer days. * Immigration and relocation support where required.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges. * Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance * Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights * Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates * Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact * Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication Your present skillset: * Degree in Computer Science, Engineering, or a related field * 5+ years of experience in data analysis and/or low-level systems and network engineering * Strong skills in Python and time-series analysis * Understanding of network protocols such as TCP/IP and Ethernet * Familiarity with market microstructure and low-latency trading is a plus * Advanced networking and GNU/Linux knowledge is a plus QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.