Data Analyst - Credit Risk MI / AIRB credit risk
GIOS Technology, Blythswood New Town, Glasgow City
Data Analyst - Credit Risk MI / AIRB credit risk
Salary not available. View on company website.
GIOS Technology, Blythswood New Town, Glasgow City
- Full time
- Permanent
- Onsite working
Posted 4 days ago, 20 Aug | Get your application in now to be included in the first week's applications.
Closing date: Closing date not specified
Job ref: 1ad148e4c67e4c90a2435b58e5ef104e
Location ref: Blythswood New Town, Glasgow City
Full Job Description
Data Analyst - Credit Risk MI/AIRB credit risk
Glasgow, Scotland - £405 Per day in Inside IR35 Contract Posted by: GIOS Technology Limited
Posted: Wednesday, 19 August 2026
Job Description
We are hiring for Data Analyst - Credit Risk MI/AIRB credit risk
Location: Glasgow - Hybrid/2-3 days Per week in Office
- Proven experience as a Data Analyst within Banking/Financial Services.
- Strong experience in Credit Risk MI, preferably within Retail Credit.
- Hands-on experience with SQL and Python for data extraction and analysis.
- Experience with BI/Data Visualisation tools, such as Tableau, Qlik, or similar.
- Good understanding of credit risk data, MI frameworks, data models, measures, dimensions, and star schemas.
- Experience working with data warehouses and golden-source data.
- Strong stakeholder management skills, particularly with Credit Risk teams
Key Skills
Data Analysis / Credit Risk / SQL / Retail Credit / AIRB credit risk
Additional Details
- Location: Glasgow, Scotland, UK
- Industry: IT
- Duration: 31/12/2026
- Start Date: 02/09/2026
- Rate: £405 Per day in Inside IR35
- Employment Business: GIOS Technology Limited
- Contact: Kamal Chinnasami
- Email Contact: This Employment Business
- Reference: JS DATA ANALYSIS / CREDIT RISK / SQL / RETAIL CREDIT / AIRB CREDIT RISK
- Posted Date: 8/19/2026 4:27:49 AM
- Permalink: http://www.careerboard.com/gsoYw
#s1-Gen
- Proven experience as a Data Analyst within Banking/Financial Services.
- Strong experience in Credit Risk MI, preferably within Retail Credit.
- Hands-on experience with SQL and Python for data extraction and analysis.
- Experience with BI/Data Visualisation tools, such as Tableau, Qlik, or similar.
- Good understanding of credit risk data, MI frameworks, data models, measures, dimensions, and star schemas.
- Experience working with data warehouses and golden-source data.
- Strong stakeholder management skills, particularly with Credit Risk teams