Senior Credit Risk Analyst — 4-Day In‑Office, Friday Flex

Equifax, Inc.; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Equifax, Inc. is seeking a Senior Analyst to join its Data and Analytics division in the UK. You will support external clients with high-impact analytics, contribute to credit strategy development, and collaborate with internal stakeholders to drive revenue deliverables.

The role requires strong Python and SQL skills and experience with credit risk datasets. You will work within a structured career framework, partnering with experienced managers to accelerate your progression and develop

Qualifications

• A numerical degree with 2:1 or higher.
• Proven experience with Python and SQL, ideally in credit risk.
• Innovative mindset with meticulous attention to detail.
• Strong domain knowledge in credit risk and bureau datasets.
• Experience delivering analytical projects including model development or credit policy formulation.
• Excellent written and verbal communication with stakeholders at all levels.

Responsibilities

• Provide high-impact analytical support and project analysis for external clients.
• Address client queries related to CRA data characteristics and scores with expert insights.
• Contribute to diverse analytical projects, including credit strategy development and bespoke analytics.
• Perform in-depth analysis across data sources using statistical and CS techniques.
• Translate findings into actionable recommendations to improve client profitability.
• Collaborate to design and deliver robust analytical and commercial solutions.

Skills

Python

SQL

VBA

Education

Numerical degree (2:1 or higher)

Tools

Google Cloud Platform

BigQuery

Git / Github

Job description

Equifax, Inc. is seeking a Senior Analyst to join its Data and Analytics division in the UK. You will support external clients with high-impact analytics, contribute to credit strategy development, and collaborate with internal stakeholders to drive revenue deliverables.

The role requires strong Python and SQL skills and experience with credit risk datasets. You will work within a structured career framework, partnering with experienced managers to accelerate your progression and develop