Company: The Concept Group
Location: Lagos
Job Type: Full-time
Apply Before: 2026-08-31
Job Description
Job Purpose
The Junior Quant / Scorecard Analyst supports the development, monitoring, and maintenance of credit scoring models and quantitative risk tools.
The role focuses on data preparation, modelling assistance, portfolio analytics, and documentation to enhance credit decision-making and improve portfolio performance across retail, SME, MFB lending, and fintech lending products.
Key Responsibilities
Data Preparation & Management:
Extract, clean, and organize datasets for credit modelling and analysis.
Work with data engineering and MIS teams to ensure data integrity and completeness.
Conduct data quality checks and produce summary statistics.
Scorecard & Model Development Support:
Assist seniors in building credit scoring models (application, behavior, collection).
Perform exploratory data analysis (EDA) and variable selection.
Support model development using logistic regression, decision trees, and basic ML techniques.
Prepare model datasets, feature engineering, and transformations.
Model Monitoring & Performance Tracking:
Monitor model KPIs such as Gini, KS, AUC, PSI, and score distribution.
Track override patterns, approval rates, and model drift.
Prepare monthly and quarterly model performance reports.
Portfolio Analytics:
Assist with analysis of delinquency trends, roll rates, NPL ratios, and credit losses.
Support cohort/vintage analysis for MFB and money lending products.
Provide insights to help refine underwriting policies and risk strategies.
IFRS 9 & Regulatory Support (Basic):
Support model documentation and basic calculations for expected credit loss (ECL).
Assist with regulatory submissions related to credit scoring or risk models.
Maintain compliance with data and modelling standards.
Documentation & Reporting:
Prepare model documentation (methodology, testing, assumptions).
Draft monitoring reports and dashboards for internal users.
Ensure all development steps follow model governance rules.
Collaboration:
Work with underwriters, credit analysts, and product teams to understand business requirements.
Provide quantitative insights for new product development and risk appetite changes.
Support Senior Modellers and Analysts in project execution.
Key Performance Indicators (KPIs)
Model Development & Support
Accuracy and timeliness of data preparation for modelling.
Contribution to scorecard development (quality of EDA, feature selection, model testing).
Reduction in model development timelines.
Model Performance Monitoring:
Timely submission of monthly/quarterly monitoring reports.
Accuracy of model KPIs (AUC/Gini/KS/PSI) tracking.
Early identification of model drift or performance issues.
Data Quality & Governance:
Reduction in errors in modelling datasets.
Compliance with data governance and documentation standards.
Number of data quality issues detected and resolved.
Portfolio Impact:
Improvements in approval rate or bad rate linked to scorecard refinements.
Accuracy of risk segmentation insights.
Effectiveness of analytical support for credit policy changes.
Efficiency & Automation:
Number of automated scripts/reports developed (e.g., Python, SQL).
Reduction in manual reporting effort.
Improvement in turnaround time for analytical tasks.
Collaboration & Stakeholder Support:
Feedback from senior modellers, underwriters, and product teams.
Timeliness and quality of ad-hoc analysis delivered.
Contribution to cross-functional risk initiatives.
Qualifications & Experience
Bachelor’s Degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or similar.
1–3+ years of experience in credit analytics, data analysis, quantitative modelling, or related fields.
Knowledge of Python, R, or SAS (basic to intermediate).
Ability to write SQL queries and work with structured datasets.
Understanding of credit scoring, logistic regression, and model validation concepts.
Experience in banking, microfinance, or digital lending is an advantage.
Skills & Competencies:
Strong quantitative and analytical skills.
Basic knowledge of credit risk metrics and scorecard frameworks.
Proficiency in Python/R and SQL for modelling and analysis.
Ability to work with large datasets and identify patterns.
Good communication and documentation skills.
Willingness to learn advanced modelling and machine learning techniques.
Detail-oriented and committed to data accuracy.
How to Apply
Send application to mary.taiwo@conceptgroup-ng.com
Apply Now
Source: HotNigerianJobs