Credit Risk Analyst

Clear Grid is a digital platform redefining debt resolution through AI-driven, customer-first solutions. We help lenders streamline recovery while providing borrowers with tailored, flexible options that prioritize financial stability and trust. By focusing on transparency and regulatory compliance, Clear Grid simplifies the debt management process for both financial institutions and borrowers, making it efficient, secure, and adaptable to the needs of today’s fast-evolving financial landscape.

Clear Grid is on a mission to revolutionize the debt resolution industry by leveraging AI, automation, and real-time data to fundamentally transform collections. We're a fast-growing startup seeking ambitious builders who want to tackle massive challenges and create lasting impact. If you’re passionate about building from the ground up and redefining how products drive business and customer outcomes, we want you on our team.

• Advanced Recovery Modeling: Develop and maintain recovery rate models using "Clear Grid" 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.

• 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 life cycles and the impact of "soft" signals on repayment behavior.

• Real ownership: You’ll play a central role in building products that redefine how collections work in the future
• Massive industry impact: This is one of those rare spaces where almost everything is still to be built.
• High-growth team: We’re scaling fast, and the systems, tools, and processes you help create will shape our foundation.