Remote Fixed Income Data & Analytics Operations Analyst in London

Remote Fixed Income Data & Analytics Operations Analyst in London

London Full-Time 29700 - 36300 Β£ / year (est.) Remote
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At a Glance

  • Tasks: Support Fixed Income Data function by resolving analytics and data issues.
  • Company: Join T. Rowe Price, a leader in investment management.
  • Benefits: Enjoy remote work flexibility and competitive compensation.
  • Other info: Collaborate with diverse teams and enhance your career in finance.
  • Why this job: Make an impact in a fast-paced investment environment with your analytical skills.
  • Qualifications: Detail-oriented with fixed income knowledge and operational experience.

The predicted salary is between 29700 - 36300 Β£ per year.

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.

Remote Fixed Income Data & Analytics Operations Analyst in London employer: T. Rowe Price Hong Kong

At T. Rowe Price, we pride ourselves on being an exceptional employer, offering a collaborative culture that values diversity and fosters professional growth. Located in London, our team enjoys a flexible work environment, competitive compensation, and comprehensive benefits, all while making a meaningful impact in the asset management industry. Join us to lead a high-performing team dedicated to delivering excellence for our clients and driving transformational change within the firm.

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Contact Details:

T. Rowe Price Hong Kong Recruitment Team

We think you need these skills to ace Remote Fixed Income Data & Analytics Operations Analyst in London

Fixed Income Knowledge
Analytical Skills
Attention to Detail
Operational Processes
Data Investigation
Issue Resolution
Collaboration with Business Partners