Credit Risk Analyst - Hybrid (2 days WFH)

Smart10 Ltd, Trading as SMT Recruitment

Hatfield

Hybrid

GBP 34,000 - 42,000

Full time

2 days ago
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Benefits offered by this job

Excellent benefits package

Job summary

Smart10 Ltd, trading as SMT Recruitment in Hatfield is seeking a Credit Risk Analyst to join an established finance team. You will analyse customer portfolios, monitor credit exposure and generate reports to support commercial decisions.

The role offers hybrid working (2 days WFH), a £38,000 salary and excellent benefits. Ideal for 1–2 years in finance or risk, with strong Excel and analytical skills and a desire to learn within a UK-based team.

Qualifications

  • A Finance, Economics, Business or related degree would be ideal.
  • Around 1-2 years' experience within Finance, Credit, Risk or an analytical role.
  • Strong Excel and analytical skills with excellent attention to detail.
  • Commercially minded, naturally inquisitive and confident working with numbers.
  • Keen to learn and develop within Credit Risk.

Responsibilities

  • Analysing customer portfolios, financial information and payment history.
  • Monitoring credit exposure and identifying changes or potential risks.
  • Producing reports, KPIs and analysis to support business decisions.
  • Using Excel, BI and technology to improve reporting and processes.
  • Working closely with colleagues across Finance and the wider business.
  • Supporting ongoing improvements within the Credit Risk function.

Skills

Excel
Attention to detail
Analytical skills
Numerical confidence

Education

Finance, Economics or related degree

Tools

BI tools
Reporting software

Job description

Smart10 Ltd, trading as SMT Recruitment in Hatfield is seeking a Credit Risk Analyst to join an established finance team. You will analyse customer portfolios, monitor credit exposure and generate reports to support commercial decisions.

The role offers hybrid working (2 days WFH), a £38,000 salary and excellent benefits. Ideal for 1–2 years in finance or risk, with strong Excel and analytical skills and a desire to learn within a UK-based team.

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