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Senior Investment Data Specialist — Hybrid & Aladdin

Vanguard Group

Greater London

Hybrid

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading investment management firm in the UK is looking for a Senior Investment Data Specialist to enhance investment decision-making by ensuring data integrity. This mid-level role involves managing complex inquiries, maintaining data processes, and coaching team members. The ideal candidate should have over 5 years of experience with strong analytical abilities and proficiency in Python and SQL. This hybrid position requires office presence Tuesday to Thursday and focuses on global data flows in a fast-paced environment.

Benefits

Hybrid working model
Collaborative culture
Diversity and inclusion commitment

Qualifications

  • 5+ years of relevant experience in fund operations or investment data roles.
  • Deep knowledge and hands-on experience with the Aladdin platform.
  • Comfortable working in a fast-paced, deadline-driven environment.

Responsibilities

  • Act as primary contact for complex investment data inquiries.
  • Identify and influence optimal investment data flows.
  • Set up new issuer bonds in Aladdin using Bloomberg data.
  • Partner with internal teams to maintain investment data integrity.
  • Escalate and resolve complex portfolio issues.

Skills

Analytical mindset
Strong interpersonal skills
Proactive problem-solver
Python proficiency
SQL proficiency
Strong investment acumen

Education

Undergraduate degree in Finance, Economics, Data Science, or related field

Tools

Aladdin platform
Job description
A leading investment management firm in the UK is looking for a Senior Investment Data Specialist to enhance investment decision-making by ensuring data integrity. This mid-level role involves managing complex inquiries, maintaining data processes, and coaching team members. The ideal candidate should have over 5 years of experience with strong analytical abilities and proficiency in Python and SQL. This hybrid position requires office presence Tuesday to Thursday and focuses on global data flows in a fast-paced environment.
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