Job Description:
Job Description: Algorithmic Trading Developer – Finance, Banking & Insurance Job Industry, Melbourne
The Algorithmic Trading Developer in Melbourne is responsible for designing, implementing, and maintaining automated trading systems that execute orders with speed and efficiency in financial markets. Working within a fast-paced trading environment, this role involves close collaboration with traders, quantitative analysts, and technology teams to develop robust, high-performance trading algorithms. These systems must respond dynamically to market conditions, minimize latency, and maintain compliance with regulatory requirements.
Key responsibilities include the end-to-end development of trading strategies using programming languages such as Python, C++, or Java. The developer will integrate data feeds, optimize trade execution, and refine algorithms based on back-testing results. Ongoing responsibilities also involve monitoring system performance, identifying issues in real-time trading, and making quick adjustments to ensure consistent execution and uptime across platforms.
The role demands strong problem-solving skills, especially in situations where milliseconds can impact profitability. The Algorithmic Trading Developer must stay current with market microstructure trends, trading venue rules, and technological advancements. Additionally, the role requires continual performance tuning and risk control enhancements to safeguard against unexpected market behavior.
Melbourne’s financial services landscape offers opportunities to contribute to the innovation of trading systems in equities, derivatives, or foreign exchange. Developers in this role play a key part in enabling financial institutions to maintain competitiveness and generate alpha through technology-driven strategies.
Job Requirement:
Job Requirements: Algorithmic Trading Developer – Finance, Banking & Insurance Job Industry, Melbourne
Candidates should have a bachelor’s or master’s degree in computer science, financial engineering, mathematics, or a related technical discipline. A minimum of 2–4 years of experience in algorithmic or high-frequency trading system development is strongly preferred. Proficiency in programming languages such as C++, Java, Python, or Scala is essential, along with experience working with low-latency systems and real-time data feeds.
In-depth knowledge of trading infrastructure, including order management systems (OMS), execution management systems (EMS), and FIX protocols, is expected. Familiarity with financial instruments such as equities, futures, options, and FX products will be beneficial. Candidates should also have hands-on experience with back-testing frameworks and be comfortable working with large volumes of historical and real-time market data.
Strong quantitative and analytical skills are necessary, especially in statistical modeling, data analysis, and performance evaluation. Understanding the mathematics behind market-making, arbitrage, and statistical arbitrage strategies is a plus. Experience using tools such as MATLAB, R, or NumPy/SciPy for research and modeling is an asset.
Excellent communication skills are important, as the role involves cross-functional collaboration with traders, quants, and IT support teams. A meticulous approach to documentation and testing is required to ensure the reliability and compliance of trading systems. The ability to thrive under pressure, manage multiple projects simultaneously, and adapt to fast-changing markets is key.
Candidates must demonstrate a passion for technology and finance, a commitment to continuous learning, and a proactive mindset in solving complex trading problems through innovative coding solutions.
