Credit Risk Assessment Consultant – Auto Financing

SOUM; Jeddah; Remote; SAR 200,000 - 300,000; Full time

Job summary

A financial consultancy in Makkah Region seeks a Credit Risk Assessment Consultant for Auto Financing to develop risk assessment logic focused on affordability and creditworthiness. Candidates should have at least 7 years of experience in risk management, preferably in consumer lending, and familiarity with SAMA regulations. The role allows for remote work, supporting a collaborative environment with data and engineering teams.

Qualifications

• At least 7 years of experience in risk management, focusing on consumer lending or auto-financing.
• Experience with SAMA’s financing regulations and credit decision-making compliance.
• Comfort with credit data inputs and familiarity with eligibility models.

Responsibilities

• Advise on DBR calculation, income/obligation evaluation, and risk tiers.
• Design customer segmentation logic based on risk and affordability profiles.
• Collaborate with data teams to implement risk logic into scoring models.

Skills

Consumer credit evaluation

Understanding of DSR

Data analysis with Power BI

Stakeholder alignment

Tools

Excel

SQL

Power BI

Job description

Overview

Role Name: Credit Risk Assessment Consultant – Auto Financing

Location: Saudi Arabia (Remote)

Work Week: Sunday – Thursday

Working Hours: 9:00 AM – 6:00 PM (Saudi Arabia Standard Time)

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.

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.

Qualifications

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