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Qube Research & Technologies

Market Microstructure Researcher

London
Posted 6 months ago
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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.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

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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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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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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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  • 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

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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. 

 

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Skills

Computer Science
Engineering
Network Analysis
Financial Markets
Python
Time Series Analysis
Network Protocols
Market Microstructure
Low-Latency Trading
Market Exchanges
FPGA-Based Trading Systems
Real-Time Metrics

Location

London, England, United Kingdom

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