Real-Time Market Data Quality Analyst

TP ICAP; Manila; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

TP ICAP Philippines is seeking an Associate in Data Quality to monitor real-time market data, triage anomalies, and coordinate with engineering, analytics, and product teams to uphold data integrity across multiple brands. The role emphasizes proactive fault diagnosis, documentation, and escalation when required.

The candidate should have a bachelor’s degree and 4+ years of experience in data quality or related fields, with familiarity in Bloomberg and Refinitiv platforms, and strong analytical

Qualifications

• Bachelor's degree in Business, Finance, IT, or related field is required.
• Could have 4+ years in Data Quality or related field.
• Experience with real-time data monitoring tools and QA applications is preferred.

Responsibilities

• Monitor real-time price validation systems to detect data errors and delays.
• Triaging anomalies and assessing impact of market events to improve data quality.
• Escalate data issues with clear documentation to internal teams and data providers.
• Conduct data analysis and fault diagnostics to identify root causes and implement corrective actions.
• Collaborate with Parameta Solutions and TP ICAP teams to maintain system functionality.
• Lead incident management and perform root cause analysis with follow-up actions.

Skills

Analytical skills

Communication

Collaboration

Problem solving

Education

Bachelor's degree in Business, Finance, Information Technology, or related field

Tools

Bloomberg

Refinitiv

Market data platforms

Job description

TP ICAP Philippines is seeking an Associate in Data Quality to monitor real-time market data, triage anomalies, and coordinate with engineering, analytics, and product teams to uphold data integrity across multiple brands. The role emphasizes proactive fault diagnosis, documentation, and escalation when required.

The candidate should have a bachelor’s degree and 4+ years of experience in data quality or related fields, with familiarity in Bloomberg and Refinitiv platforms, and strong analytical