Role Summary:

We are seeking a consultant to advise on the development of our auto-financing risk assessment logic, with a focus on affordability, creditworthiness, and data-driven decision-making.

Role & Responsibilities:

At least 7 years of experience in risk management, with a strong preference for backgrounds in consumer lending or auto-financing.
Advise on DBR calculation, income/obligation evaluation, and risk tiers.
Review and refine credit approval frameworks.
Provide market and regulatory insight to guide model assumptions.
Validate proposed policies against market data and SAMA expectations.
Design customer segmentation logic based on risk and affordability profiles to guide product eligibility criteria.
Collaborate with data and engineering teams to translate risk logic into actionable rule engines and scoring models.
Define and monitor key credit KPIs, such as approval rate, default risk, early delinquency, and portfolio performance.
Support stress testing scenarios to assess the resilience of credit models under macroeconomic shifts.
Review third-party data sources (e.g., Open Banking, SIMAH, employer databases) for integration into credit decision-making.
Ensure credit policies comply with evolving SAMA regulatory frameworks and align with Sandbox expectations.

Requirements:

1. Credit Risk Analysis:
Experience with consumer credit evaluation, ideally in auto-financing or personal loans
Understanding of DSR (Debt Service Ratio), loan-to-value, credit scoring models, and affordability checks
Ability to design or review credit policies for used cars, salaried vs. self-employed, etc.
2. Familiarity with SAMA Regulations:
Working knowledge of SAMA’s financing regulations, including Fair Credit Terms, KYC, AML, and consumer protection
Understanding how credit decisions must align with regulatory compliance in KSA
3. Data & Tech Fluency:
Comfort working with credit data inputs from:
SIMAH / Bayan Credit Bureau
Open Banking APIs (e.g., income and obligation analysis)
Can work with or define eligibility models, and help refine your risk engine logic
Familiarity with basic Excel modeling and tools like Power BI / Looker / Metabase for analyzing credit outcomes
4. Process & Workflow Design:
Experience designing or reviewing credit approval workflows (manual or automated)
Can define stages like: pre-screening → document check → scoring, → final offer
5. Stakeholder Alignment:
Able to collaborate with tech, ops, and compliance teams to ensure credit logic is embedded in product design
Experience working with LOS (Loan Origination Systems) or CRM systems is a plus

Nice-to-Have Skills:

Prior work at a BNPL, auto-leasing, or consumer finance company
Can help with pilot program design to test risk logic in-market
Familiarity with machine learning basics to support collaboration with data teams on smarter credit models