Credit Risk Architect

Credit Risk Architect

Posted 4 days ago by GIOS Technology

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Negotiable
Undetermined
Hybrid
Knutsford, England, United Kingdom
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Algorithms Application Programming Interface (API) Blaze Advisor Cloud Computing Cloud Technology Credit Risk Debits And Credits Generic Programming Google Cloud Platform (GCP) Machine Learning Machine Learning Algorithms Microsoft Azure Pega PRPC Python (Programming Language) SAS (Software) Software Development Systems Integration Underwriting

Summary: The Credit Risk Architect role involves designing and implementing credit risk decisioning systems, requiring expertise in platforms like FICO Blaze Advisor and Pega. The position demands strong programming skills in Python, R, or SAS, along with a deep understanding of credit risk and underwriting principles. The candidate will also need hands-on experience with system integration and familiarity with cloud platforms. This hybrid role is based in Knutsford, England, with a requirement for in-office presence 2-3 non-consecutive days per week.

Key Responsibilities:

  • Design and implement credit risk decisioning systems using platforms such as FICO Blaze Advisor and Pega.
  • Utilize programming skills in Python, R, or SAS for analytics and modeling.
  • Integrate systems with APIs, data warehouses, and credit bureaus.
  • Apply knowledge of cloud platforms (AWS, Azure, GCP) and scalable architecture principles.
  • Develop statistical models and machine learning algorithms for credit risk assessment.
  • Ensure compliance with regulatory requirements in credit decisioning and responsible lending.

Key Skills:

  • Pega
  • Credit risk
  • Cloud platforms
  • SAS
  • Data warehouse

Salary (Rate): undetermined

City: Knutsford

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

I am hiring for Credit Risk Architect

Location: Knutsford - Hybrid / 2-3 Non - Consecutive days Per week in Office

Proven expertise with decisioning platforms such as FICO Blaze Advisor, Pega, or similar tools. Strong programming and analytics background in Python, R, or SAS. Deep understanding of credit risk, underwriting principles, and affordability metrics. Hands-on experience in system integration, working with APIs, data warehouses, and credit bureaus. Familiarity with cloud platforms (AWS, Azure, GCP) and scalable architecture principles. Advanced knowledge in statistical modeling, machine learning, and model governance. Solid grasp of regulatory requirements in credit decisioning and responsible lending.

Key Skills: Pega / Credit risk / cloud platforms / SAS / Data warehouse

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