OverviewA leading global investment firm is looking for a Data Support Engineer to join a high-impact team supporting quantitative researchers and traders. This is a fantastic opportunity to work in a fast-paced, data-driven environment where technology and research are at the heart of the business.You'll play a key role in ensuring the smooth operation of data systems, supporting users across the business, and contributing to the ongoing development of a world-class data platform.ResponsibilitiesAct as the first point of contact for researchers and traders needing support with data access, usage, and tooling.Troubleshoot and resolve data-related issues in collaboration with data engineering teams.Onboard new users and provide training on internal data tools and best practices.Maintain and improve internal documentation to ensure clarity and consistency across the platform.Manage support workflows using tools like JIRA, ensuring timely resolution of requests.Contribute to expanding data coverage, including live data collection and historical backfills.Help maintain data quality and integrity across a wide range of financial datasets.RequirementsA degree in Computer Science, Data Science, Finance, or a related technical field.Experience in a data support, technical support, or IT helpdesk role - ideally within a financial or trading environment.Strong Python skills, particularly with data libraries such as Pandas and NumPy.Familiarity with APIs, data pipelines, and data infrastructure.Exposure to financial data providers like Bloomberg, Reuters, or similar.Experience using JIRA or other ticketing/project management tools.Excellent communication skills and a proactive, problem-solving mindset.Attention to detail and a passion for delivering high-quality support in a fast-moving environment.Why Join?Work in a collaborative, research-driven environment where data and technology are central to decision-making.Be part of a team that directly supports the firm's trading and investment strategies.Gain exposure to cutting-edge tools and a wide variety of datasets.Enjoy a culture that values innovation, continuous learning, and work-life balance. #J-18808-Ljbffr