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    <title>Credit Risk Modeller - Harnham - Data &amp; Analytics Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/credit-risk-modeller-harnham-data-analytics-recruitment--0398dda5-483e-4c6b-bdc2-51b51ebd9be6</link>
    <description>RSS feed for Credit Risk Modeller at Harnham - Data &amp; Analytics Recruitment.</description>
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    <lastBuildDate>Fri, 12 Jun 2026 21:15:44 GMT</lastBuildDate>
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      <title>Credit Risk Modeller - Harnham - Data &amp; Analytics Recruitment</title>
      <link>https://jobs.co.uk/job/credit-risk-modeller-harnham-data-analytics-recruitment--0398dda5-483e-4c6b-bdc2-51b51ebd9be6</link>
      <guid>https://jobs.co.uk/job/credit-risk-modeller-harnham-data-analytics-recruitment--0398dda5-483e-4c6b-bdc2-51b51ebd9be6</guid>
      <pubDate>Fri, 12 Jun 2026 11:52:17 GMT</pubDate>
      <description>Location: London | Salary: 90000.00-90000.00 Annual | Type: Permanent | Senior Credit Risk Modeller (6 month FTC)Salary100k salary Pro-ratedLocation + work pattern London - 4 days per week in office (with some flexibility)The Company  This organisation is a growing, niche lender operating across multiple product lines including property and asset finance. With a strong focus on risk management and regulatory alignment, they are investing heavily in modernising their credit modelling capabilities and governance frameworks.The Role You will take the lead on redesigning and enhancing a suite of credit risk models, ensuring they are robust, compliant, and aligned with evolving regulatory requirements. This is a hands-on role with significant ownership across both technical delivery and stakeholder engagement.Specifically, you can expect to be involved in:Leading redevelopment of credit risk rating, ICAAP and stress testing modelsDesigning and implementing PD, LGD and expected loss frameworks across portfoliosEnhancing model risk sensitivity and improving overall model performanceManaging model lifecycle processes including testing, documentation, and governanceCollaborating with risk, finance, and lending teams to ensure models are understood and effective...</description>
      <category>Permanent</category>
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