Posted byPrincipal Recruiter
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.
- Troubleshootplex 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 ( ETL frameworks, schedulers, CI / CD pipelines, DBT).Working knowledge of distributed storage andpute systems.Understanding of time-series data and techniques used in quantitative modelling or forecasting.Ability to work in Linux / Unix environments with solidmand-line proficiency.Analytical thinker with strongmunication skills and the drive to work across teams.Degree inputer Science, Engineering, Mathematics, or related field.Why Join?
Work in a high-performance environment where your contributions directly influence trading oues.Collaborate with talented engineers and researchers solving real-time and large-scale data challenges.Leverage the latest in cloudputing, automation, and software development practices.Be part of a lean, impactful team trusted with building core systems from the ground up.Job ID 1OCData