Data Operations Analyst – Reference Data

Point72; Singapore; On-site; USD 70,000 - 100,000; Full time

Job summary

A leading company in finance seeks a Data Operations Analyst to join their dedicated team in Singapore. The role involves ensuring the accuracy of security and issuer reference data, troubleshooting discrepancies, and collaborating with global teams. Ideal candidates will have a Bachelor's degree, 3+ years in financial services, and strong skills in SQL and Python.

Qualifications

• 3+ years of experience in financial services, asset management, or hedge funds.
• Expertise in reference data from financial service data providers.
• Experience with large data sets and troubleshooting data issues.

Responsibilities

• Troubleshoot and resolve data discrepancies.
• Implement proactive measures to identify and resolve data issues.
• Collaborate with global team members for seamless transitions.

Skills

SQL

Python

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor’s degree in Computer Science or related discipline

Job description

EXPERIENCE

Early Career

LOCATION

Singapore

FOCUS

Data Science & Analytics | Systematic Data

BUSINESS

Cubist

About

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

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.

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

• 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.