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Data Analyst

McGregor Recruitment

Greater London

On-site

GBP 59,000 - 70,000

Full time

30+ days ago

Job summary

An established industry player is seeking a skilled Data Analyst to join their risk modelling team. In this hybrid role, you will develop and maintain stress testing tools, produce insightful risk analytics, and oversee data governance activities. Your expertise in data analysis, particularly within banking, will be crucial as you deliver regular management information reports and enhance the efficiency of data production processes. If you have strong skills in SAS, SQL, and Excel, and a passion for data quality, this opportunity offers a dynamic environment where your contributions will significantly impact the organization's risk management efforts.

Qualifications

  • Previous data analysis experience within banking.
  • Intermediate skills in SAS and SQL required.

Responsibilities

  • Deliver regular MI reports and respond to ad-hoc data analysis requests.
  • Support the development of data governance and quality framework.

Skills

Data Analysis
SAS
SQL
Excel
Power BI
Communication Skills

Job description

Role: Data Analyst

Salary: Up to £70,000

Location: London (Hybrid - 3 days p/w in office)

Join a leading commercial bank's risk modelling team, which focuses on developing and maintaining stress testing tools and models, producing insightful risk analytics, and overseeing data governance activities.

Key Responsibilities

  • Deliver regular MI reports and respond to ad-hoc data analysis requests
  • Develop insightful, robust data analysis to support both recurring and one-off reporting needs
  • Enhance the efficiency of MI production processes
  • Help identify and resolve data quality issues, and contribute to data lineage efforts
  • Support the development of a strong data governance and data quality framework within the Risk team

What we're looking for

  • Previous data analysis experience within banking
  • Intermediate SAS and SQL
  • Familiarity with financial risk terminology
  • Strong Excel skills (formulas, pivot tables, etc.)
  • Proficient with Power BI
  • Strong communication skills and experience working cross-functionally

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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