Data Operations Analyst - Reference Data
Data Operations Analyst - Reference Data
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Job Description
We are passionate about data. We collaborate to build elegant effective scalable and highly reliable solutions to empower predictive modelling in finance.
Cubists 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 errorfree 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 firms central reference data system.
RESPONSIBILITIES
- 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.
REQUIREMENTS
- Bachelors 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 problemsolving skills with a keen attention to detail.
- Commitment to the highest ethical standards
Required Experience:
IC
Employment Type
Full Time
