Credit Risk Analyst

Credit Risk Analyst

Posted 1 day ago by MANNING SERVICES LIMITED

Negotiable
Inside
Hybrid
England, United Kingdom

Summary: The role of Senior Analyst - Credit Risk involves working within the Banking and Analytics segment, focusing on credit risk strategies and decisioning logic. The position is based in Halifax, United Kingdom, with flexible hybrid working arrangements. The candidate is expected to have extensive experience in retail banking and proficiency in data analysis tools like SAS and MS Excel.

Key Responsibilities:

  • Analyze credit risk strategies and decisioning logic within a retail banking environment.
  • Utilize SAS for data analysis, validation, and reconciliation.
  • Collaborate with delivery leadership and cross-functional teams.
  • Develop and implement risk decisioning frameworks including application, behavioral, and collections strategies.
  • Provide insights and recommendations based on data analysis.

Key Skills:

  • 8+ years of experience in retail banking.
  • Strong understanding of credit risk strategies and decisioning logic.
  • Proficiency in SAS for data analysis.
  • Advanced knowledge of MS Excel, including formulas and pivot tables.
  • Strong analytical and problem-solving skills.
  • High attention to detail.
  • Ability to work collaboratively with teams.

Salary (Rate): undetermined

City: Halifax

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: Finance

Detailed Description From Employer:

Role: Senior Analyst - Credit Risk

BU/Segment: Banking / Analytics

Location: Halifax, United Kingdom (Flexible hybrid working)

Employment Type: Umbrella Contract (Inside IR35) to start ASAP

Qualifications and experience we consider to be essential for the role:

  • 8+ years of experience within retail banking environment with strong understanding of credit risk strategies and decisioning logic
  • Solid understanding of risk decisioning frameworks (application, behavioural, collections strategies).
  • Proficiency in SAS for data analysis, validation, and reconciliation.
  • Strong working knowledge of MS Excel (advanced formulas, pivot tables, data analysis).
  • Strong analytical and problem-solving skills with high attention to detail.
  • Ability to work closely with delivery leadership and cross-functional teams.