Trader - Digital Assets
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Before you apply
LocationSydney, Australia
Work modeon-site
Typefull-time
SeniorityMid
DepartmentScreen & Quant Trading
Company size1,001–5,000 people
PostedAug 6, 2026 · 3mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
A quantitative or technical background in Mathematics, Statistics, Physics, Computer Science, Engineering, Finance, or a related field
Strong analytical and problem-solving skills
Good judgement and attention to detail when working with live trading systems
Ability to remain calm and make decisions during time-sensitive incidents
Proficiency in Python for data analysis and trade investigations
Strong communication skills and a collaborative mindset
Experience in electronic trading, market making, trading operations, or risk management
Familiarity with cryptocurrency markets, including spot, perpetual futures, funding, and hedging
Exposure to DeFi protocols or automated trading systems
Familiarity with SQL, Linux, logs, and monitoring tools
Skills
Python
SQL
Linux
About the company
IMC has a strong presence in traditional finance and has been expanding its cryptocurrency trading activities over recent years. Through its global affiliates, IMC provides liquidity and trades across a broad range of cryptocurrency exchanges and DeFi protocols.
We are currently looking for a Crypto Trader to join us in Sydney office and provide APAC-hours coverage for our Crypto team in Zug. Working during normal Sydney business hours, you will take ownership of live trading activities while the Zug-based team is offline.
The role covers token market making, DeFi, and CeFi delta-one strategies. It is primarily focused on operating, monitoring, configuring, and managing the risk of automated trading strategies.
Your Core Responsibilities:
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Monitor live trading strategies, positions, exposures, and PnL during APAC hours.
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Manage strategy configurations, trading parameters, limits, and operational controls.
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Investigate urgent trading issues, unexpected strategy behaviour, and unusual PnL movements.
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Take appropriate action during volatile markets, exchange incidents, or infrastructure disruptions.
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Use Python and internal tools to analyse trades, execution quality, and strategy performance.
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Support the rollout and scaling of strategies across new tokens, venues, and protocols.
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Provide clear handovers between the Sydney and Zug teams.
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Communicate with external parties to resolve issues and handle requests.
Your Skills and Experience:
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A quantitative or technical background in Mathematics, Statistics, Physics, Computer Science, Engineering, Finance, or a related field.
•
Strong analytical and problem-solving skills.
•
Good judgement and attention to detail when working with live trading systems.
•
Ability to remain calm and make decisions during time-sensitive incidents.
•
Proficiency in Python for data analysis and trade investigations.
•
Strong communication skills and a collaborative mindset.
Good to Have:
•
Experience in electronic trading, market making, trading operations, or risk management.
•
Familiarity with cryptocurrency markets, including spot, perpetual futures, funding, and hedging.
•
Exposure to DeFi protocols or automated trading systems.
•
Familiarity with SQL, Linux, logs, and monitoring tools.
Prior experience developing low-latency trading strategies is not required. However, candidates should be comfortable understanding quantitative strategies, investigating their behaviour, and working closely with the traders, researchers, and developers responsible for them.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.