{"id":1068,"date":"2026-07-08T06:02:56","date_gmt":"2026-07-08T06:02:56","guid":{"rendered":"https:\/\/jobs.dataaxisnode.com\/nigeria\/uncategorized\/junior-quant-scorecard-analyst\/"},"modified":"2026-07-08T06:02:56","modified_gmt":"2026-07-08T06:02:56","slug":"junior-quant-scorecard-analyst","status":"publish","type":"post","link":"https:\/\/jobs.dataaxisnode.com\/nigeria\/jobs\/lagos\/junior-quant-scorecard-analyst\/","title":{"rendered":"Junior Quant \/ Scorecard Analyst"},"content":{"rendered":"<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\/\", \"@type\": \"JobPosting\", \"title\": \"Junior Quant \/ Scorecard Analyst\", \"description\": \"Job Purpose\\nThe Junior Quant \/ Scorecard Analyst supports the development, monitoring, and maintenance of credit scoring models and quantitative risk tools.\\nThe 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.\\nKey Responsibilities\\nData Preparation & Management:\\nExtract, clean, and organize datasets for credit modelling and analysis.\\nWork with data engineering and MIS teams to ensure data integrity and completeness.\\nConduct data quality checks and produce summary statistics.\\nScorecard & Model Development Support:\\nAssist seniors in building credit scoring models (application, behavior, collection).\\nPerform exploratory data analysis (EDA) and variable selection.\\nSupport model development using logistic regression, decision trees, and basic ML techniques.\\nPrepare model datasets, feature engineering, and transformations.\\nModel Monitoring & Performance Tracking:\\nMonitor model KPIs such as Gini, KS, AUC, PSI, and score distribution.\\nTrack override patterns, approval rates, and model drift.\\nPrepare monthly and quarterly model performance reports.\\nPortfolio Analytics:\\nAssist with analysis of delinquency trends, roll rates, NPL ratios, and credit losses.\\nSupport cohort\/vintage analysis for MFB and money lending products.\\nProvide insights to help refine underwriting policies and risk strategies.\\nIFRS 9 & Regulatory Support (Basic):\\nSupport model documentation and basic calculations for expected credit loss (ECL).\\nAssist with regulatory submissions related to credit scoring or risk models.\\nMaintain compliance with data and modelling standards.\\nDocumentation & Reporting:\\nPrepare model documentation (methodology, testing, assumptions).\\nDraft monitoring reports and dashboards for internal users.\\nEnsure all development steps follow model governance rules.\\nCollaboration:\\nWork with underwriters, credit analysts, and product teams to understand business requirements.\\nProvide quantitative insights for new product development and risk appetite changes.\\nSupport Senior Modellers and Analysts in project execution.\\nKey Performance Indicators (KPIs)\\nModel Development & Support\\nAccuracy and timeliness of data preparation for modelling.\\nContribution to scorecard development (quality of EDA, feature selection, model testing).\\nReduction in model development timelines.\\nModel Performance Monitoring:\\nTimely submission of monthly\/quarterly monitoring reports.\\nAccuracy of model KPIs (AUC\/Gini\/KS\/PSI) tracking.\\nEarly identification of model drift or performance issues.\\nData Quality & Governance:\\nReduction in errors in modelling datasets.\\nCompliance with data governance and documentation standards.\\nNumber of data quality issues detected and resolved.\\nPortfolio Impact:\\nImprovements in approval rate or bad rate linked to scorecard refinements.\\nAccuracy of risk segmentation insights.\\nEffectiveness of analytical support for credit policy changes.\\nEfficiency & Automation:\\nNumber of automated scripts\/reports developed (e.g., Python, SQL).\\nReduction in manual reporting effort.\\nImprovement in turnaround time for analytical tasks.\\nCollaboration & Stakeholder Support:\\nFeedback from senior modellers, underwriters, and product teams.\\nTimeliness and quality of ad-hoc analysis delivered.\\nContribution to cross-functional risk initiatives.\\nQualifications & Experience\\nBachelor\u2019s Degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or similar.\\n1\u20133+ years of experience in credit analytics, data analysis, quantitative modelling, or related fields.\\nKnowledge of Python, R, or SAS (basic to intermediate).\\nAbility to write SQL queries and work with structured datasets.\\nUnderstanding of credit scoring, logistic regression, and model validation concepts.\\nExperience in banking, microfinance, or digital lending is an advantage.\\nSkills & Competencies:\\nStrong quantitative and analytical skills.\\nBasic knowledge of credit risk metrics and scorecard frameworks.\\nProficiency in Python\/R and SQL for modelling and analysis.\\nAbility to work with large datasets and identify patterns.\\nGood communication and documentation skills.\\nWillingness to learn advanced modelling and machine learning techniques.\\nDetail-oriented and committed to data accuracy.\", \"datePosted\": \"2026-07-01\", \"hiringOrganization\": {\"@type\": \"Organization\", \"name\": \"The Concept Group\"}, \"jobLocation\": {\"@type\": \"Place\", \"address\": {\"@type\": \"PostalAddress\", \"addressLocality\": \"Lagos\", \"addressCountry\": \"NG\"}}, \"directApply\": true, \"validThrough\": \"2026-08-31T23:59:59\", \"employmentType\": \"FULL_TIME\"}<\/script><\/p>\n<p><strong>Company:<\/strong> The Concept Group<\/p>\n<p><strong>Location:<\/strong> Lagos<\/p>\n<p><strong>Job Type:<\/strong> Full-time<\/p>\n<p><strong>Apply Before:<\/strong> 2026-08-31<\/p>\n<h3>Job Description<\/h3>\n<p>Job Purpose<br \/>The Junior Quant \/ Scorecard Analyst supports the development, monitoring, and maintenance of credit scoring models and quantitative risk tools.<br \/>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.<br \/>Key Responsibilities<br \/>Data Preparation &#038; Management:<br \/>Extract, clean, and organize datasets for credit modelling and analysis.<br \/>Work with data engineering and MIS teams to ensure data integrity and completeness.<br \/>Conduct data quality checks and produce summary statistics.<br \/>Scorecard &#038; Model Development Support:<br \/>Assist seniors in building credit scoring models (application, behavior, collection).<br \/>Perform exploratory data analysis (EDA) and variable selection.<br \/>Support model development using logistic regression, decision trees, and basic ML techniques.<br \/>Prepare model datasets, feature engineering, and transformations.<br \/>Model Monitoring &#038; Performance Tracking:<br \/>Monitor model KPIs such as Gini, KS, AUC, PSI, and score distribution.<br \/>Track override patterns, approval rates, and model drift.<br \/>Prepare monthly and quarterly model performance reports.<br \/>Portfolio Analytics:<br \/>Assist with analysis of delinquency trends, roll rates, NPL ratios, and credit losses.<br \/>Support cohort\/vintage analysis for MFB and money lending products.<br \/>Provide insights to help refine underwriting policies and risk strategies.<br \/>IFRS 9 &#038; Regulatory Support (Basic):<br \/>Support model documentation and basic calculations for expected credit loss (ECL).<br \/>Assist with regulatory submissions related to credit scoring or risk models.<br \/>Maintain compliance with data and modelling standards.<br \/>Documentation &#038; Reporting:<br \/>Prepare model documentation (methodology, testing, assumptions).<br \/>Draft monitoring reports and dashboards for internal users.<br \/>Ensure all development steps follow model governance rules.<br \/>Collaboration:<br \/>Work with underwriters, credit analysts, and product teams to understand business requirements.<br \/>Provide quantitative insights for new product development and risk appetite changes.<br \/>Support Senior Modellers and Analysts in project execution.<br \/>Key Performance Indicators (KPIs)<br \/>Model Development &#038; Support<br \/>Accuracy and timeliness of data preparation for modelling.<br \/>Contribution to scorecard development (quality of EDA, feature selection, model testing).<br \/>Reduction in model development timelines.<br \/>Model Performance Monitoring:<br \/>Timely submission of monthly\/quarterly monitoring reports.<br \/>Accuracy of model KPIs (AUC\/Gini\/KS\/PSI) tracking.<br \/>Early identification of model drift or performance issues.<br \/>Data Quality &#038; Governance:<br \/>Reduction in errors in modelling datasets.<br \/>Compliance with data governance and documentation standards.<br \/>Number of data quality issues detected and resolved.<br \/>Portfolio Impact:<br \/>Improvements in approval rate or bad rate linked to scorecard refinements.<br \/>Accuracy of risk segmentation insights.<br \/>Effectiveness of analytical support for credit policy changes.<br \/>Efficiency &#038; Automation:<br \/>Number of automated scripts\/reports developed (e.g., Python, SQL).<br \/>Reduction in manual reporting effort.<br \/>Improvement in turnaround time for analytical tasks.<br \/>Collaboration &#038; Stakeholder Support:<br \/>Feedback from senior modellers, underwriters, and product teams.<br \/>Timeliness and quality of ad-hoc analysis delivered.<br \/>Contribution to cross-functional risk initiatives.<br \/>Qualifications &#038; Experience<br \/>Bachelor\u2019s Degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or similar.<br \/>1\u20133+ years of experience in credit analytics, data analysis, quantitative modelling, or related fields.<br \/>Knowledge of Python, R, or SAS (basic to intermediate).<br \/>Ability to write SQL queries and work with structured datasets.<br \/>Understanding of credit scoring, logistic regression, and model validation concepts.<br \/>Experience in banking, microfinance, or digital lending is an advantage.<br \/>Skills &#038; Competencies:<br \/>Strong quantitative and analytical skills.<br \/>Basic knowledge of credit risk metrics and scorecard frameworks.<br \/>Proficiency in Python\/R and SQL for modelling and analysis.<br \/>Ability to work with large datasets and identify patterns.<br \/>Good communication and documentation skills.<br \/>Willingness to learn advanced modelling and machine learning techniques.<br \/>Detail-oriented and committed to data accuracy.<\/p>\n<h3>How to Apply<\/h3>\n<p>Send application to mary.taiwo@conceptgroup-ng.com<\/p>\n<p><a href=\"mailto:mary.taiwo@conceptgroup-ng.com\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:10px 20px;background:#2271b1;color:#fff;text-decoration:none;border-radius:4px;\">Apply Now<\/a><\/p>\n<p><small>Source: HotNigerianJobs<\/small><\/p>\n<p><!-- job-expiry: 2026-08-31 --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Company: The Concept Group Location: Lagos Job Type: Full-time Apply Before: 2026-08-31 Job Description Job PurposeThe 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 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,21],"tags":[228,230,18,348],"class_list":["post-1068","post","type-post","status-publish","format-standard","hentry","category-jobs","category-lagos","tag-full-time-2","tag-hotnigerianjobs","tag-job-listing","tag-the-concept-group"],"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/posts\/1068","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/comments?post=1068"}],"version-history":[{"count":0,"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/posts\/1068\/revisions"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/media?parent=1068"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/categories?post=1068"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/nigeria\/wp-json\/wp\/v2\/tags?post=1068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}