Data Reliability Engineer
Singapore·Posted today
pythonaws
<p><strong>A Career with Cubist</strong></p> <p>Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.</p> <p><strong>What You’ll Do</strong></p> <p>We are passionate about data. We collaborate to build elegant, effective, scalable, and highly reliable solutions to empower predictive modeling in finance.</p> <p>You will join a team that plays a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe. Specifically, you will:</p> <ul> <li>Serve as a frontline owner for thousands of mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness.</li> <li>Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with portfolio managers, data scientists, and external data vendors.</li> <li>Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform.</li> <li>Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices.</li> </ul> <p><strong>What’s Required</strong></p> <ul> <li>Bachelor’s degree with a focus in computer science or a related field.</li> <li>Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments; familiarity with Databricks is a plus.</li> <li>Exceptional attention to detail with a strong appreciation for well-defined processes and systems.</li> <li>3+ years of experience in a client-facing support or operations role.</li> <li>Excellent organizational, communication, and interpersonal skills.</li> <li>Demonstrated commitment to the highest ethical standards.</li> </ul>