Quant Developer

• Build and manage investment data platforms underpinning domestic and international systematic equity strategies
• Develop and maintain market, fundamental, benchmark, and corporate action datasets
• Design and enhance scalable research infrastructure for testing, evaluating, and implementing investment ideas
• Partner with investment professionals to develop alpha signals, factor models, and quantitative research capabilities
• Maintain data integrity across global equity markets, including corporate actions, security lifecycle events, and benchmark changes
• Develop automated, production-quality systems supporting portfolio construction, optimisation, and trade implementation
• Improve the efficiency, reliability, and scalability of investment research and operational workflows
• Contribute to proprietary investment, risk, and analytics capabilities
• Support Australian Ethical's strategic objective of growing funds under management

Requirements

• 3+ years of experience in quantitative development, investment systems development, financial data engineering, or similar
• Demonstrated track record supporting quantitative research projects and enhancing or developing new strategies
• Experience building a securities database for research and production
• Passion for equity markets and quantitative investing
• Strong SQL and Python skills
• Deep understanding of market data, corporate actions, and security master management
• Ability to work effectively with portfolio managers and researchers in a high-performing investment team
• Exposure to systematic equity strategies, quantitative modelling, or portfolio optimisation techniques
• Proficiency in SQL and Python essential
• Snowflake highly regarded
• Ideally, experience in a production investment environment supporting live portfolios and trading workflows
• Relevant tertiary qualifications
• CFA designation highly regarded
• Successful candidate must complete background checks

Core Competencies

Demonstrates expertise in quantitative development and investment systems, with strong capabilities in SQL and Python for building and maintaining investment data platforms. Proven ability to enhance research infrastructure and support quantitative research projects in equity markets.

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