Referece Data Operations Analyst
Referece Data Operations Analyst
Job Title: Reference Data Operations Analyst / Reference Data Analyst
Comp: 150-500k total compensation (candidate dependent)
Ideal YOE: 3-15 years
Summary: A successful hedge fund is looking to bring on a qualified candidate in the reference data operations or data analysis space. A qualified candidate will have experience with reference and market data as well as SQL/Python.
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.
- Discover, source, validate, and drive the on-boarding of new data-sets that enable unique investment opportunities, working across internal teams and external vendors
- Create and maintain internal data library that collates information internally and externally on an ongoing basis
- Work with technologists, project managers, and business analysts to deliver reference data system upgrades
- Develop and document standardized processes for data support, monitoring, and quality assurance.
- Collaborate with global team members to ensure seamless transitions between support regions.
- Follow and maintain a daily playbook of operational procedures and controls
- Capture all metadata feeding into an Incident Management program for all reference data issues
- Produce operational reports for team and management reviews on a regular basis
Qualifications
- 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 analytical and problem-solving skills, with a keen attention to detail.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
Yes, we help with resume and interview preparation. From customized support on how to optimize your resume to interview preparation and compensation negotiations, we advocate for you throughout your next career move.