Quantitative Trader at Life Trading

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Trading, Algorithmic Trading, Python, Research, Strategy Development, Trading Support, Risk Management, Backtesting, Signal Analysis, C++, Low-Latency Systems, Execution, Trade Reconciliation, Workflow Automation

Industry

Financial Services

Description

About Us 👋 Life Trading Pty Ltd is a growing proprietary trading company with offices in Australia and the UK. We are driven by a mission to achieve success in trading by leveraging cutting-edge technology and a strong set of core values. Our team is made up of passionate experts, with a shared focus on accountability and excellence. Our culture is relaxed and grounded in trust, fairness, and respect. We believe in enjoying the work, being rewarded for dedication, and maintaining time and space for life outside of trading. About the Opportunity 💡 We’re seeking expressions of interest from Mid-Level Quantitative Traders based in Sydney, as part of the continued growth of one of our successful Trading teams. The focus of this opportunity is on supporting live trading activity while also contributing to the research, development, and enhancement of algorithmic trading strategies. You’ll work closely with experienced traders, researchers, and developers, gaining exposure across the full trading lifecycle; from idea generation and analysis through to implementation and live execution. This is a hands-on environment with meaningful responsibility and the opportunity to make a real impact. Your Mission at Life Trading 🎯 Trading Support live trading operations and assist with the execution of existing strategies. Contribute to trading decision-making and ongoing strategy refinement. Assist with trade reconciliation and operational processes. Monitor trading activity and systems, helping to identify and resolve issues. Support risk management and control processes across the trading function. Identify opportunities to automate recurring tasks and improve workflows. Assist with research and backtesting of quantitative trading ideas. Develop and analyse signals using Python & contribute to internal strategy development. Ability to collaborate closely with operations, and technology teams. What We’re Looking For 👀 Experience in a quantitative trading role. Strong Python skills for research, analysis, and strategy development. Experience working with systematic or algorithmic trading systems. Solid understanding of risk management and trading controls. Strong analytical mindset and attention to detail. Clear written and verbal communication skills. Bonus Points For ✅ Experience working in small and/or cross-functional trading teams. Exposure to end-to-end strategy development lifecycles. Strong C++ skills or experience working alongside low-latency systems. Experience collaborating closely with technology and infrastructure teams. A Bit About the Team 🤝 You’ll be joining a successful, collaborative trading team where research, technology, and execution are tightly integrated. We value curiosity, shared ownership, and continuous improvement, and you’ll have the opportunity to grow your impact as you develop deeper trading and research expertise. Benefits 🎉 At Life Trading, we recognise that our people are our most valuable asset, which is why we offer a range of benefits to support your career growth, personal well-being, and work-life balance: Competitive Salary: Reflecting your skills and experience. Flat Management Structure: Open communication and the ability to make an impact. Work-Life Balance: A sustainable approach to high-performance trading. Health and Wellbeing Initiatives. Anniversary Leave. Social Events and team activities. Paid Parental Leave. Professional Development and learning opportunities. Employee Recognition Programme. Join us and grow your career as a Quantitative Trader at Life Trading.

Responsibilities

The role involves supporting live trading operations, assisting with strategy execution, and contributing to trading decision-making and refinement. Responsibilities also include monitoring systems, supporting risk management, and automating recurring tasks.