Quant Roles - Expressions of Interest at Life Trading

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mathematics, Statistics, Probability, Python, C++, R, Data Analysis, Backtesting, Strategy Validation, Machine Learning, Time-series Analysis, Financial Modeling, Quantitative Research, Quantitative Development, Data Pipelines, Technical Communication

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 combining disciplined execution with innovative technology and strong operational foundations. Our culture is relaxed and high-performing, built on trust, accountability, and respect. We believe in doing great work while maintaining balance outside of it. About the Role 💡 Quantitative work sits at the heart of how we trade. We’re always keen to hear from researchers, developers, and analysts who like solving hard problems with data. This is an Expression of Interest. By registering, you’re putting yourself forward for current and upcoming Quantitative opportunities across research, development, and analysis. We review every submission and reach out when there’s a fit, whether that’s now or as the business grows. You’ll work on the ideas and models that drive trading decisions — researching signals, building and validating strategies, and turning messy data into a genuine edge. We hire across the spectrum, from quant researchers and quant developers through to quant traders who sit close to the market. Your Mission at Life Trading 🎯 Research & Strategy: Research, design, and test trading signals, models, and strategies Apply statistical and probabilistic methods to large and complex datasets Backtest, validate, and stress-test ideas before they reach production Translate research findings into clear, actionable insights for trading Development & Tooling: Build and maintain research tooling, data pipelines, and analytical frameworks Write clean, reliable code to support research and live trading Improve the speed, robustness, and reproducibility of our research process Collaboration: Partner closely with traders to understand needs and refine ideas Work alongside technologists to take research from prototype to production Share findings openly and contribute to a rigorous, curious research culture What We’re Looking For 👀 Strong foundations in mathematics, statistics, and probability Proficiency in a research language such as Python (and ideally one of C++, R, or similar) A rigorous, evidence-led approach to problem solving Comfort working with large, imperfect, real-world datasets Intellectual curiosity and the drive to dig into hard problems Clear written and verbal communication of technical ideas Bonus Points For ✅ A postgraduate degree (Masters or PhD) in a quantitative field Experience with machine learning, time-series analysis, or financial data Strong results in competitions or olympiads (e.g. maths, Kaggle, programming) Publications or research experience in a relevant area Prior exposure to trading, market data, or financial markets A Bit About the Team 🤝 You’ll be joining a sharp, collaborative quantitative team that works closely with traders and technologists across the business. The environment is fast-paced but low-ego, with a strong focus on rigour, ownership, and shared learning. Benefits 🎉 At Life Trading, we recognise that our people are our most valuable asset. We offer: Competitive Package: Reflecting your experience and contribution Flat Structure: Open communication and real ownership from day one Work-Life Balance: Supportive and collaborative team environment Health & Wellbeing: Access to wellbeing initiatives and support programmes Anniversary Leave: Additional leave to celebrate milestones Social Events: Team lunches, socials, and company events Paid Parental Leave: Support for growing families Professional Development: Opportunities to learn and grow with the business Employee Recognition: Celebrating individual and team contributions Not seeing a specific quantitative role advertised? Register your interest here and we’ll be in touch when an opportunity that suits you comes up.

Responsibilities

Research, design, and test trading signals and models using statistical methods on complex datasets. Build and maintain research tooling, data pipelines, and analytical frameworks to support live trading.