T. Rowe Price

Operations Analyst – Fixed Income Data & Analytics, Technology

T. Rowe Price London, England, United Kingdom

Financial Services · 5,001-10,000 employees

Yesterday
Mid (2-5 yrs) Full-time United Kingdom
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About the role

The Operations Analyst will support fixed income data functions, including analytics, risk, and attribution, while ensuring data accuracy within portfolio management systems. They will collaborate with business partners, engineers, and vendors to resolve data quality issues and maintain operational service levels.

What they look for

Fixed income Data analysis SQL Bloomberg PORT Risk metrics Portfolio management systems Operational support Python Financial analysis Problem-solving Communication skills Data quality Attribution Risk management Vendor management

Requirements

Candidates must have strong fixed income knowledge, experience in operational support, and proficiency in SQL. A quantitative academic background and familiarity with industry-standard platforms like Bloomberg PORT or Yield Book are required.

Benefits

Work from home flexibility

Full description

KM2

We are seeking an Operations Analyst to support our Fixed Income Data function across Fixed Income Analytics, Fixed Income Risk, and Fixed Income Attribution. This role is ideal for a detail-oriented, analytically minded professional with strong fixed income knowledge and experience supporting operational processes in a fast-paced investment environment.

The successful candidate will play a key role in ensuring the accuracy, quality, and reliability of fixed income analytics and risk data used across portfolio management systems. This individual will work closely with business partners, software engineers, and third-party vendors to identify, investigate, and resolve data and analytics issues while supporting daily operational service levels.

Key Responsibilities

  • Support operational processes for Fixed Income Data across Analytics, Risk, and Attribution functions.
  • Review and resolve issues raised through fixed income analytics audits to ensure the accuracy of security-level analytics and risk exposures within portfolio management systems.
  • Investigate and resolve data quality issues raised by users or identified through automated testing.
  • Follow operational best practices and ensure work is completed within daily SLAs.
  • Provide support for multiple third-party/vendor applications used in fixed income analytics and risk processes.
  • Develop strong working relationships with business partners, software engineers, and external vendors to support issue resolution and process improvements.
  • Contribute to the stability and accuracy of business-as-usual operational support processes.

Required Qualifications

  • Fixed income experience and a strong understanding of fixed income products and analytics.
  • Experience in operational and BAU support.
  • Experience working with and analyzing data.
  • Working knowledge of SQL queries.
  • Working knowledge of fixed income analytics, ideally using industry-standard vendor platforms such as:• Bloomberg PORT
  • FTSE/Citi Yield Book
  • IDC
  • Risk Metrics
  • or similar tools
  • Strong academic record in Finance, Mathematics, Physics, or a similar quantitative discipline.
  • Self-starter with strong interpersonal and communication skills.
  • Ability to work effectively with global teams across multiple time zones.
  • Excellent problem-solving skills and strong attention to detail.

Preferred Qualifications

  • At least 3 years of relevant industry experience.
  • Demonstrated experience with a range of global fixed income instruments, including:• Bonds
  • Derivatives
  • Securitized products
  • and other related instruments
  • Working knowledge of portfolio accounting systems and/or commercial market data and analytics tools.
  • General knowledge of macro financial markets, with an understanding of the buy-side/asset management industry.
  • Working knowledge of Python.
  • Understanding of Fixed Income Portfolio Attribution.

Ideal Candidate Profile

The ideal candidate is a proactive and collaborative operations professional who combines strong fixed income knowledge with data analysis skills and a commitment to operational excellence. They are comfortable working across teams, managing competing priorities, and supporting critical analytics and risk processes in a global environment.

Work Flexibility

This position is eligible to work from home up to 3 days per week.