Credit Risk and Data Analyst

🔒 Confidential Employer
Posted 24 April 2026
LOCATION
Manchester
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£60,000 / year
CATEGORY
Credit Risk & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL SAS Power BI Data Extraction Data Manipulation Portfolio Monitoring Credit Risk Data Analysis

FULL DESCRIPTION

- Permanent

- Manchester, Greater Manchester, England (Remote)

- Posted 3 months ago

- £45k - 60k per year

- Applications have closed.

- Flexible Working: Hybrid

Credit Risk and Data Analyst

Senior Credit Risk and Data Analyst- Power BI Manchester 3 days a week £45K-£60K Key Responsibilities: - Data Extraction and Preparation: Extract and manipulate large volumes of data from various internal systems and external data sources (e.g., credit bureaus) using SQL, SAS and other data manipulation tools. - Portfolio Monitoring: Produce regular and ad-hoc Management Information (MI) reports on key credit risk metrics (e.g., delinquencies, default rates, loss rates, impairment levels) for management and regulatory reporting. - Analysis and Insight: Conduct in-depth analysis of portfolio trends to identify emerging risks and opportunities. Translate complex data insights into clear, actionable recommendations for the Credit Risk team and wider business stakeholders. - Manage the current Credit Risk data tables. - Represent Credit Risk in the development of the Company data strategy to ensure it meets the requirements of Credit Risk. Ensure continuity of reporting during the development along with the migration of existing data to the new Company data warehouse. - Balance short-term business demands with long-term analytical strategy and sustainability. - To comply with internal policies and procedures, alongside those of our regulator, ensuring that we Treat Customers Fairly. Key Requirements: - A degree in a numerate subject and good skills in quantitative/statistical analysis. - Strong technical proficiency in at least one of the following programming languages: SQL, SAS, SPSS - Strong experience in data visualisation (Power BI ideal) - Minimum two years’ experience in a role involving practical, in-depth utilisation of the technologies listed above (beyond introductory or theoretical exposure).

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