Remote Fixed Income Data & Analytics Operations Analyst

T. Rowe Price; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Work from home 3 days/week

Job summary

T. Rowe Price seeks an Operations Analyst to support its Fixed Income Data function across analytics, risk, and attribution.

The role targets a detail-oriented, analytically minded professional with fixed income knowledge and experience in operational processes within a fast-paced investment environment. You will work with business partners, software engineers, and external vendors to identify, investigate, and resolve data and analytics issues while maintaining daily service levels.

Qualifications

• Strong academic record in Finance, Mathematics, Physics, or similar quantitative discipline.
• Fixed income experience and knowledge of fixed income analytics.
• Experience in operational/BAU support and data analysis.
• Working knowledge of SQL and vendor platforms used in fixed income analytics.

Responsibilities

• Support operational processes for Fixed Income Data across Analytics, Risk, and Attribution functions.
• Review analytics audits to ensure accuracy of security-level analytics and risk exposures in portfolio systems.
• Investigate and resolve data quality issues raised by users or automated testing.
• Follow operational best practices and meet daily SLAs.
• Provide support for multiple third-party/vendor applications used in fixed income analytics and risk processes.
• Collaborate with business partners, software engineers, and vendors to drive process improvements.

Skills

Fixed income

Data analysis

SQL queries

Communication

Problem solving

Education

Finance/Mathematics/Physics degree

Tools

Bloomberg PORT

Citi Yield Book

IDCRisk Metrics

Job description

T. Rowe Price seeks an Operations Analyst to support its Fixed Income Data function across analytics, risk, and attribution.

The role targets a detail-oriented, analytically minded professional with fixed income knowledge and experience in operational processes within a fast-paced investment environment. You will work with business partners, software engineers, and external vendors to identify, investigate, and resolve data and analytics issues while maintaining daily service levels.