Reference Data Analyst

<p>We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p> <p>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.</p> <p>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.</p> <p><strong>RESPONSIBILITIES </strong></p> <ul> <li>Troubleshoot and resolve data discrepancies, monitor vendor SLAs, and communicate data issues to internal stakeholders.</li> <li>Implement proactive measures to identify and resolve data issues automatically.</li> <li>Handle internal client requests and inquiries, ensuring transparent support and leading communication on any SLA breaches.</li> <li>Assist in the onboarding of new datasets, validation rules, and user interface improvements, as well as participate in testing.</li> <li>Develop and document standardized processes for data support, monitoring, and quality assurance.</li> <li>Collaborate with global team members to ensure seamless transitions between support regions.</li> <li>Liaise with Business, Technology, and Operations leadership to ensure alignment on project objectives, deliverables, requirements, and status updates.</li> </ul> <p><strong>REQUIREMENTS </strong></p> <ul> <li>Bachelor’s degree with a concentration in Computer Science or related discipline.</li> <li>3+ years of experience in financial services, asset management, or hedge funds with a focus on data operation and reference data support.</li> <li>Expertise in reference data content from common financial service data providers such as Bloomberg, Refinitiv, Barra, FactSet, etc.</li> <li>Experience troubleshooting and resolving data issues, along with experience in engaging with data consumers.</li> <li>Programming skills in SQL and Python.</li> <li>Experience working with large data sets.</li> <li>Strong oral and written communication skills.</li> <li>Strong analytical and problem-solving skills, with a keen attention to detail.</li> <li>Commitment to the highest ethical standards</li> </ul>