Senior Data Developer for Hedge Fund

Senior Data Developer (Financial Services A MUST)

📍 Melbourne / Sydney Location ONLY (But role is 100% remote)

💰 $150K – $200K base + super

🧑 💼 Permanent Full-Time Role

We are seeking a Senior Data Developer for a hedge fund to design, build, and operate a modern data platform that powers quantitative research, trading, and risk management across multiple asset classes.

This role sits within a central data engineering team at the intersection of data engineering and software development, where you will own end-to-end data pipelines, build next-generation security master systems, and ensure high-quality, reliable data delivery to support investment and trading decisions.

You’ll work in a fast-paced, high-performance environment where data quality, speed, and scalability directly impact research and trading outcomes.

Key Responsibilities

• Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming large-scale market data from multiple sources
• Build and manage cloud-based data lake solutions (AWS / Databricks) for structured and unstructured data storage and retrieval
• Implement robust data quality, validation, and cleansing frameworks to ensure accuracy of financial time-series data
• Optimise data workflows for low latency and high throughput to support quantitative research, trading, and risk functions

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• Collaborate closely with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modelling and strategy development
• Contribute to the design and enhancement of the security master database
• Analyse large datasets to generate insights that inform trading and risk decisions
• Document system architecture, data flows, and technical solutions to ensure transparency, scalability, and reproducibility

Requirements

• Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• 5+ years’ experience developing Python-based data or financial systems (At least 5 years of relevant experience in developing python-based financial software) Financial Services a MUST
• Strong Python skills, including data manipulation using Pandas
• Exposure to financial datasets across multiple asset classes
• Experience working with quantitative analysts or research teams
• Experience collaborating with quantitative analysts to support the quantitative research and modeling process
• Strong understanding of Linux environments
• Solid foundation in mathematics and statistics
• Ability to thrive in fast-paced, high-pressure environments

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• Strong problem-solving and communication skills (written and verbal)

Nice to Haves

• Experience with Kafka or other streaming technologies
• Understanding of financial market data, symbology, and reference data across equities, futures, credit, indices, and OTC markets
• Experience working in hedge funds, prop trading, or quantitative finance environments
• Cloud experience (AWS / Azure)
• Exposure to LLMs, AI/ML integration, or modern data/AI architecture

Interested candidates with full Australian working rights are encouraged to apply and join a growing, forward-thinking team.

Please email me your CV to c.thum@certusrecruitment.com then give Charmaine Thum a call on 0439 320 538