Credit Risk MI Analyst

Virgin Money UK PLC; Newcastle upon Tyne; On-site; GBP 39,000 - 49,000; Full time

Job summary

A leading financial institution in the UK seeks a passionate Credit Risk MI Analyst to join their Collections and Recoveries team. The role involves driving data-led decisions, creating insightful MI, and presenting data clearly to stakeholders. Candidates must have strong skills in SQL and data analysis. The position offers a salary range between £39,200 and £49,000, along with several competitive benefits.

Benefits

25 days holiday per year

Private medical insurance

Highly competitive pension scheme

Performance-related bonus

Training and development opportunities

Flexible benefit scheme

Life assurance

Up to 2 days of paid volunteering

Qualifications

• Proven experience coding in SAS, Oracle, SQL, Python or R with complex datasets.
• Experience producing high-quality MI and insights.
• Strong analytical mindset and ability to present data clearly.

Responsibilities

• Build scalable routines to ingest data from multiple sources.
• Deliver insightful MI and supporting commentary on performance.
• Serve as the first point of contact for data queries.

Skills

SAS

SQL

Excel

Data analysis

Python

Power BI

Job description

Credit Risk MI Analyst – Virgin Money

Base pay range

• Business Unit: Customer Support
• Salary range: £39,200 – £49,000 per annum DOE + benefits
• Contract type: Permanent

Our Team

Our Collections and Recoveries business continues to support customers who are going through difficult times. We need more talented individuals to help us transform our business. We’re looking for an enthusiastic and passionate Collections & Recoveries MI Analyst to join our team and focus on driving data‑led decisions at the heart of everything we do.

Responsibilities

• Build scalable and repeatable routines to ingest data from a number of sources in different formats.
• Deliver purposeful and insightful MI and supporting commentary on performance within Risk Operations.
• Interpret results, identifying, understanding and highlighting key trends.
• Serve as the first point of contact for business queries regarding the data.
• Convert large datasets into clear insights.
• Put customers at the heart of all decision‑making.

Qualifications

• Proven experience coding in SAS, Oracle, SQL, Python or R, with a track record of working with large and complex datasets.
• Experience producing high‑quality MI and insight that supports operational teams and improves performance outcomes.
• A strong analytical mindset, with evidence of being a self‑starter who can independently investigate issues and deliver actionable insight.
• Excellent numerical skills and the ability to present data clearly and translate findings into meaningful conclusions.
• Comfortable working confidently with stakeholders at all levels across a business.
• Strong Microsoft Excel skills, including building robust models, reports and analysis.
• Experience using data visualisation tools such as Power BI to create clear and engaging insight.

Benefits

• 25 days holiday per year, increasing to 30 over time, with the option to buy additional days.
• Private medical insurance.
• A highly competitive pension scheme.
• Access to an annual performance‑related bonus.
• Training and development opportunities.
• Additional benefits through a flexible benefit scheme.
• Life assurance.
• Up to 2 days of paid volunteering a year.

Legal and eligibility

Although some of our roles allow you to be based anywhere in the UK, you must confirm you have the right to work in the UK. If successful, you will undergo credit and criminal record checks and provide three years’ worth of satisfactory references. Roles under the Senior Manager Regime and Certification Regime require enhanced checks and periodic employment checks.

Urgency

If we receive a large volume of interest, we may close the advert early. Please submit your application as soon as possible.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Analyst