Relocation Opportunities - Singapore, Hong Kong, Sydney
We're partnered with several leading funds that are offering relocation packages for candidates with Industry experience.
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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