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Credit Risk Analyst

ClearGridDubai, UAE2 weeks agoMid-Seniorfulltime
Financial ModelingMachine LearningVAT
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Via LinkedInΒ·

About This Role

ClearGrid is hiring an on-site Credit Risk Analyst in Dubai.

Role Overview

We are searching for a Credit Risk Analyst with a track record of delivering innovative, data-driven solutions and a bias for action. In this role, you will be responsible for the financial modeling and valuation of distressed consumer loan portfolios (BNPL and unsecured personal loans). You will translate complex data signals, such as demographic indicators and borrower behavior, into actionable recovery forecasts and competitive investment bids.

Key Responsibilities

The candidate will be able to perform:

  • Advanced Recovery Modeling: Develop and maintain recovery rate models using "ClearGrid" methodology, specifically focusing on identifying high-potential segments (top 5%) using data signals and explicitly define downside cases and sensitivity of recovery assumptions
  • Statistical Correlation Analysis:
  • Construct correlation matrices to test recovery sensitivity against existing borrower signals to establish eligibility criteria and concentration limits.
  • Clearly articulate where data is directional rather than definitive
  • Lookalike Modeling & Interpolation: Utilize machine learning or statistical grouping to identify "lookalike" borrowers within unidentified portfolios, applying scenario assumptions for risk mitigation.
  • Portfolio Bidding & Strategy:
  • Design and execute the final Portfolio Bid models, integrating recovery forecasts with operational costs, concentration limits, and required profit margins to determine the purchase price.
  • Produce pricing ranges and downside scenarios, not just point estimates.
  • Support live transaction pricing discussions and iterative bid refinement under time constraints
  • Visual Reporting: Build and manage Tableau dashboards to communicate conversion rates and recovery performance to senior stakeholders.

Requirements:

  • Data Tools: Advanced proficiency in SQL and Python/R for data manipulation and lookalike modeling.
  • Visualization: Expert level in Tableau or other tools for large data sets to visualize recovery trends.
  • Financial Modeling: Expert Excel/Financial modeling skills, specifically for NPL valuation (DCF, IRR, and NPV analysis of recovery streams).
  • Domain Expertise: Deep understanding of BNPL or consumer credit lifecycles and the impact of "soft" signals on repayment behavior.

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