IMC

financial trading

QuantitativeMicrostructureAnalyst

Sydney, New South Wales, Australia Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Quantitative Microstructure Analyst at IMC. Skills: Data Analysis, System Optimization, Low-Latency Systems, Python. Analyse terabytes of network data. optimise system performance”

What You'll Achieve.

optimise system performance; improve the performance of our low-latency trading systems; sustainable, long-term solutions

Industry & Context.

financial trading
Problems you'll solve

solve problems creatively; deal with uncertainty and ambiguity; deal with ambiguity; solve problems proactively

What They're Looking For.

Must Have

distributed systems, computer networks, operating system architecture, ultra-low latency environments, data analytics, Linux kernel internals, networking, Python

Nice to Have

eBPF, kernel network bypass technologies, C++

What You'll Do.

Analyse terabytes of network data

optimise system performance

Analyse trading environment

improve performance of low-latency trading systems

Analyse time series exchange network captures

Define direction for investment decisions

How You'll Work.

Team & Collaboration

collaborate with other teams; Work closely with traders; information sharing

Communication Scope

Ability to communicate complex ideas to technical and non-technical audiences

Full Job Description

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. Your Core Responsibilities: Data and Systems Analysis: Analyse terabytes of network data to identify patterns, validate hypotheses, and optimise system performance. Analyse, optimise, troubleshoot, and continuously tune the complete trading environment to improve the performance of our low-latency trading systems on financial exchanges. Analyse time series exchange network captures. Design, develop, test, and deploy simple, elegant, reusable code. Work closely with traders and other technology teams to drive global thinking, information sharing, and sustainable, long-term solutions. Build IMC's knowledge base to ensure a deep understanding of exchange infrastructure and protocols. Define the direction for critical investment decisions by analysing complex technical problems in a self-directed manner. Your Skills and Experience: While not all of the below is required, a deep understanding in at least one of the following areas would be an advantage 5+ years of experience in at least one of the areas: distributed systems, computer networks, operating system architecture, ultra-low latency environments. Strong skills in data analytics including analysing and visualising large data sets Knowledge of Linux kernel internals and interfaces including memory, network, and file I/ O. Knowledge of eBPF is a plus. Knowledge of networking (TCP/IP, UDP, Multicast). Knowledge of kernel network bypass technologies is a plus. Proficiency in Python. Proficiency in C++ a bonus. A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguit

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