Relocation Opportunities - Singapore, Hong Kong, Sydney

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Data Engineer - Quantitative Research Environment

Overview

An elite trading and research firm is seeking a skilled technologist to join a collaborative team supporting the data-driven backbone of a world-class quantitative investment strategy.

This is a unique opportunity to design, build, and maintain critical research and data infrastructure that empowers traders, data scientists, and quantitative researchers across the business.

What You’ll Do
• Own and manage large-scale, high-value datasets from acquisition through to integration in quantitative pipelines. • Architect and automate robust data workflows, including extraction, cleaning, validation, and transformation. • Collaborate closely with quant researchers to translate analytical needs into efficient, scalable data systems. • Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems. • Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development. • Improve data storage and retention efficiency using distributed systems and performance-optimised formats. • Troubleshoot complex technical issues across multiple layers, including low-level market data handling and high-level research tooling.

What We’re Looking For
• Strong programming capabilities in Python and/or C++ (familiarity with Java is a bonus) • Experience handling large datasets, structured and unstructured, ideally within financial markets or other high-throughput environments. • Hands-on exposure to data engineering tools (e.g. ETL frameworks, schedulers, CI/CD pipelines, DBT). • Working knowledge of distributed storage and compute systems. • Understanding of time-series data and techniques used in quantitative modelling or forecasting. • Ability to work in Linux/Unix environments with solid command-line proficiency. • Analytical thinker with strong communication skills and the drive to work across teams. • Degree in Computer Science, Engineering, Mathematics, or related field.

Why Join?
• Work in a high-performance environment where your contributions directly influence trading outcomes. • Collaborate with talented engineers and researchers solving real-time and large-scale data challenges. • Leverage the latest in cloud computing, automation, and software development practices. • Be part of a lean, impactful team trusted with building core systems from the ground up. •

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