A 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.
Responsibilities
* Act 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.
Requirements
* A 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.
If you have experience supporting front office teams with data needs and are ready for a challenge with a high performing fund, apply today!