Lead, Credit Modeller & Data Scientist at Rosabon Financial Services (RFS) Limited

Rosabon Financial Services (RFS) Limited is an Award winning Rosabon Financial Services is member of the Concept Group is licensed by the Central Bank of Nigeria, CBN on April 22, 1993, and being a long-standing member of the Equipment Leasing Association of Nigeria (ELAN), the organization has evolved into Nigeria’s leading Non-Banking Financial Intermediary and Equipment Leasing firm focused on niche and general markets.

We are recruiting to fill the position below:

Job Title: Lead, Credit Modeller & Data Scientist

Location: Lagos 
Employment Type: Full-time

Job Summary

• The Lead, Credit Modeller & Data Scientist oversees the development, validation, and optimization of credit scoring models, risk analytics frameworks, and data-driven decision systems.
• This role ensures that the organization adopts advanced statistical and machine learning techniques to enhance credit underwriting, customer segmentation, early warning systems, and portfolio performance.
• Are you an expert in credit risk modelling, IFRS 9, and machine learning?
• We’re looking for a senior data scientist who can build PD, LGD, and EAD models, develop AI-driven credit decision engines, and lead analytics that improve loan performance and portfolio risk strategy.
• If you have experience building credit scorecards, predictive risk models, and automated underwriting systems, this role is for you.

What You’ll Do

• Lead development of credit scoring models (application, behavioral, collections)
• Build PD, LGD, EAD models aligned with IFRS 9
• Deploy machine learning models for credit risk and fraud detection
• Develop automated credit decision engines
• Drive portfolio analytics, stress testing, and default forecasting
• Lead a team of modellers and data scientists.

Criteria

• Interested candidates should possess a Bachelor`s / Master`s Degree
• 8+ years experience in credit risk modelling or data science
• Experience developing credit scorecards or PD/LGD/EAD models
• Strong programming skills in Python, R, SQL, or SAS
• Experience in banking, fintech, or lending environments.

Application Closing Date
25th March, 2026.