Reference Data Analyst

Cubist's data services group is looking for Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will join a global team of analysts who monitor, validate, and support Security and Issuer reference data within the firm's central reference data system., * Troubleshoot and resolve data discrepancies, monitor vendor SLAs, and communicate data issues to internal stakeholders.

• Implement proactive measures to identify and resolve data issues automatically.
• Handle internal client requests and inquiries, ensuring transparent support and leading communication on any SLA breaches.
• Assist in the onboarding of new datasets, validation rules, and user interface improvements, as well as participate in testing.
• Develop and document standardized processes for data support, monitoring, and quality assurance.
• Collaborate with global team members to ensure seamless transitions between support regions.
• Liaise with Business, Technology, and Operations leadership to ensure alignment on project objectives, deliverables, requirements, and status updates.

Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's degree with a concentration in Computer Science or related discipline.

• 3+ years of experience in financial services, asset management, or hedge funds with a focus on data operation and reference data support.
• Expertise in reference data content from common financial service data providers such as Bloomberg, Refinitiv, Barra, FactSet, etc.
• Experience troubleshooting and resolving data issues, along with experience in engaging with data consumers.
• Programming skills in SQL and Python.
• Experience working with large data sets.
• Strong oral and written communication skills.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Commitment to the highest ethical standards