Credit Risk Assessment Consultant – Auto Financing

Soum; Riyadh; Remote; SAR 100,000 - 150,000; Full time

Job summary

A financial consultancy is seeking a Credit Risk Assessment Consultant specializing in auto financing to develop risk assessment logic. Key responsibilities include advising on credit approval frameworks and collaborating with teams on translating risk logic into actionable models. Candidates should have extensive experience in risk management and SAMA regulations compliance. The role offers a remote work setup with a workweek from Sunday to Thursday.

Qualifications

• Experience with consumer credit evaluation, ideally in auto-financing or personal loans.
• Understanding of SAMA’s financing regulations, including Fair Credit Terms and KYC.
• Ability to work with credit data inputs from SIMAH and Open Banking APIs.

Responsibilities

• Advise on DBR calculation and risk tiers.
• Design customer segmentation logic based on risk profiles.
• Define and monitor key credit KPIs.

Skills

Credit Risk Analysis

Familiarity with SAMA Regulations

Data & Tech Fluency

Process & Workflow Design

Stakeholder Alignment

Tools

Power BI

Looker

Metabase

Job description

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.

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

• 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‑em, etc.
• 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.
• Data & Tech Fluency:
  Comfort working with credit data inputs from SIMAH / Bayan Credit Bureau, Open Banking APIs (e.g., income and obligation analysis); ability to work with or define eligibility models and help refine risk engine logic; familiarity with basic Excel modeling and tools like Power BI, Looker, Metabase for analyzing credit outcomes.
• Process & Workflow Design:
  Experience designing or reviewing credit approval workflows (manual or automated); can define stages such as pre‑screening → document check → scoring → final offer.
• 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.