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Results for mathematics and statistics in "mathematics and statistics" in Jobs in South Africa in South Africa
1
This role is perfect for someone who thrives on technical challenges, enjoys building and validating models, and wants to make a real impact in financial decision-making and regulatory compliance.What Youll Do:Validate and challenge models across domains such as credit risk, finance, capital modelling, and fraud detection.Build challenger models to ensure accuracy and reliability.Collaborate with technical and business teams to provide assurance on model governance and performance.What Were Looking For:36 years experience in scorecard development, validation, and monitoring (credit risk or marketing models).Strong background in data mining, predictive modelling, and understanding of the credit lifecycle.Excellent analytical skills and attention to detail.Ability to work collaboratively across technical and business teams.Education:Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data Science.Preferred: Honours in Data Science, Statistics, Mathematics, or Actuarial Science.Conditions of Employment:Clear criminal and credit record.Commitment to diversity and employment equity principles.How to Apply
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-Decision-Science-1249450-Job-Search-01-08-2026-00-00-00-AM.asp?sid=gumtree
11h
Executive Placements
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Key ResponsibilitiesDevelop, implement, and maintain credit risk models for merchant and consumer advancesCreate and refine credit scoring models to support lending decisionsMonitor model performance, conduct validations, and ensure complianceCollaborate with data teams to ensure data quality and integrityProduce clear documentation for governance and audit purposesSupport stress testing, scenario analysis, and automation of models into operational systemsJob Experience and Skills RequiredEducation:Degree in Statistics, Actuarial Science, Mathematics, Data Science, or related field (Postgraduate degree advantageous)Experience:37 years in credit risk modelling, financial modelling, or data analytics within financial services, fintech, or consultingHands-on experience with statistical programming (Python, R, SAS) and SQLFamiliarity with machine learning approaches beneficialStrong understanding of credit lifecycle, risk metrics, and regulatory frameworksSkills & Attributes:Analytical mindset with strong mathematical skillsExcellent communication skills for technical and non-technical audiencesAbility to manage multiple priorities in a fast-paced environmentSelf-starter with problem-solving mindsetApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Analyst-1246961-Job-Search-12-15-2025-04-12-58-AM.asp?sid=gumtree
11h
Executive Placements
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Key ResponsibilitiesDevelop and deploy advanced statistical and machine learning modelsAnalyse complex datasets to extract actionable insights for strategic decisionsDesign scalable data solutions and automation pipelinesCollaborate with cross-functional teams to integrate analytics into business strategyJob Experience & Skills RequiredEducation:Degree in Data Science, Statistics, Mathematics, Computer Science, or related field (Masters advantageous)Experience:36 years in data science or advanced analytics rolesProven experience in building predictive models and scalable data solutionsExposure to AI-driven automation and cloud-based environments (AWS/GCP/Azure)Skills:Proficiency in Python, R, SQL, and modern ML frameworksStrong statistical modelling and data engineering capabilitiesAbility to translate technical insights into commercial impactNon-negotiable:Passion for innovation and ability to work on complex, high-impact projectsApply now!For more exciting Finance vacancies, visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1247400-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
11h
Job Placements
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Credit Risk Modelling & DevelopmentDevelop and review credit risk models for provisioning and regulatory capital requirements (e.g., IFRS9, scorecards)Apply contemporary statistical techniques to enhance model accuracy and complianceAutomation & CodingAssist with coding and automation of financial risk management modelsHone programming skills in Python, R, and SAS for model development and validationTechnical Advisory & CollaborationWork with diverse teams to deliver quantitative solutions for local and global banking clientsCommunicate complex quantitative concepts to both technical and non-technical stakeholders Skills & Experience:Strong understanding of statistical techniques in credit risk modellingAbility to read, interpret, and create software code (Python, R, SAS)Experience in quantitative credit risk roles is advantageousExcellent communication and presentation skillsResilient, team-oriented, and able to work under pressure Qualifications:Honours or Masters degree in Quantitative Finance, Mathematics, Statistics, or related discipline For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/S/Senior-ConsultantAssistant-Manager-1250571-Job-Search-01-12-2026-10-13-21-AM.asp?sid=gumtree
11h
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Model Validation & GovernanceLead independent validations of models, including credit risk, operational optimisation, financial crime, and marketing campaignsEnsure robust model governance and risk management processes are in placeDesign and implement challenger models using advanced machine learning techniquesTechnical Leadership & ResearchProvide subject matter expertise and oversight on technical reviews of modelsResearch emerging algorithms and technologies to ensure models meet best practice standardsContribute to enhancing validation methodologies and frameworksCollaboration & MentorshipPartner with model development teams and stakeholders to provide effective challenge and assuranceMentor analysts, identify skills gaps, and support professional growth Skills & Experience:Minimum 6+ years of experience in model development and validation within Data ScienceStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and advanced ML techniquesExposure to cloud platforms (AWS preferred) and emerging technologies such as large language modelsAbility to design and deliver end-to-end ML projects independentlyExcellent communication and stakeholder engagement skills Qualifications:Minimum: Honours Degree in Mathematics, Statistics, or Data SciencePreferred: Masters degree in mathematics, Statistics, or Data Science For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/M/Model-Validation-Lead-1250892-Job-Search-01-13-2026-04-13-25-AM.asp?sid=gumtree
11h
Job Placements
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In return, youll enjoy a competitive salary, strong benefits, and genuine opportunities for career growth in an innovative environment.What Youll Do:Analyze large datasets to uncover trends and opportunities.Build and maintain dashboards, reports, and data visualizations.Perform statistical analysis and predictive modeling.Collaborate with cross-functional teams to deliver data-driven solutions.Ensure data integrity and optimize data processes.What Were Looking For:Degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.Proven experience as a Data Analyst.Must-have skills: SAS, SQL, R, and Python.Strong understanding of data modeling and relational databases.Excellent problem-solving and communication skills.Experience with visualization tools (e.g., Tableau and Power BI) is a plus.How to Apply
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1249449-Job-Search-01-08-2026-00-00-00-AM.asp?sid=gumtree
11h
Executive Placements
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Analytical Strategy & Model DevelopmentDevelop and implement advanced mathematical, statistical, and machine learning models to address business problems and opportunitiesOptimise analytical methodologies and ensure alignment with organisational strategyTranslate technical outputs into actionable business insights within approved architectureBuild predictive models and automation solutions to enhance efficiency, reduce costs, and drive revenue growthData Management & GovernanceSource, prepare, and validate data for analysis, ensuring quality and reliabilityApply data wrangling principles to improve data integrityEnsure compliance with privacy laws, ethical data use, and governance standardsMaintain and regularly update models for ongoing relevance and accuracyCollaboration & Stakeholder EngagementPartner with cross-functional teams to define metrics, delivery plans, and business information needsPresent analytical findings and recommendations to stakeholders in clear, visual formatsMentor junior analysts and foster a culture of knowledge sharing and continuous improvementContribute to specialist communities and organisational learning initiativesInnovation & Continuous ImprovementEmploy advanced analytics technologies, including AI, machine learning, and deep learningConduct text analytics on unstructured data and apply pattern recognition for researchStay abreast of emerging technologies and industry best practices to enhance analytical capabilities Skills & Experience:Strong proficiency in statistical modelling, machine learning, and predictive analyticsAdvanced programming skills in R, Python, and experience with open-source platformsAbility to visualise data insights effectively for varied audiencesExcellent problem-solving, communication, and stakeholder management skillsProven track record in implementing AI and process automation solutionsFamiliarity with compliance, governance, and risk management frameworks Qualifications:Minimum: Bachelors Degree in Mathematical Sciences, Statistics, Engineering, Computer Science, Econometrics, Physics, or Actuarial SciencePreferred: Honours or Masters DegreeMinimum 5+ years experience in a senior data science role, with 12 years in a leadership or management capacity For more information Contact:Recruitment Consultant
https://www.executiveplacements.com/Jobs/D/Data-Scientist-1250297-Job-Search-01-12-2026-04-13-27-AM.asp?sid=gumtree
11h
Executive Placements
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About The Role/Team:The Model Validation team provides assurance on the accuracy, robustness and governance of models. The unit plays a central role in supporting sound risk management, financial decision-making and regulatory compliance. Their work spans a variety of domains, including credit risk, finance, capital modelling, and fraud detection. The team collaborates closely with modelling and business units, offering technical challenge and validation expertise to ensure models remain fit-for-purpose in an evolving environment. Requirements: Proven 3-6 years experience in scorecard building, including developing, validating, and monitoring scorecards for credit risk application/behaviour models or marketing purposes. This experience will be used in the role to challenge models presented to the team and to build challenger models.Experience with data mining used for analyses and predictive modelling.Full understanding of the credit lifecycle.Strong analytical ability, with attention to detail and the ability to work across multiple model types.A collaborative mindset with the ability to engage effectively across technical and business teams. EducationMinimum: Degree in Mathematics, Statistics, Actuarial Science or Data Science. Ideal or Preferred: Honours Degree in Data Science, Statistics, Mathematics or Actuarial Science. Conditions of EmploymentClear criminal and credit recordShould you not receive a response from us within one week of your application, your application has unfortunately not been successful.
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-1244081-Job-Search-01-05-2026-00-00-00-AM.asp?sid=gumtree
8d
Executive Placements
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Job Description:Design the Experiment: Frame complex business challenges as rigorous, testable hypotheses within an ocean of structured and unstructured dataForge the Telescope: Develop sophisticated statistical models, machine learning algorithms, and simulation engines to detect the subtle signals within the noiseChart the Celestial Bodies: Transform raw data into coherent star mapsclear narratives, visualizations, and predictions that guide strategic navigationPublish the Findings: Communicate discoveries with clarity and conviction, providing the empirical evidence that shifts perspectives and drives decisive action Skills & Experience: The Inquisitors Toolkit: Mastery of the scientific languages: Python, R, SQL, and their libraries for statistics, machine learning, and deep explorationA Mathematicians Rigor: A profound understanding of probability, inference, and the mathematical principles that underpin truthThe Theorists Imagination: The creativity to ask novel questions and the tenacity to pursue them through iterative experimentationThe Scholars Communication: The ability to translate complex celestial mechanics into a compelling story for any audience Qualification:Tertiary qualification preferred Contact JADE PERUMAL on
https://www.jobplacements.com/Jobs/D/Data-Scientist-1250312-Job-Search-01-12-2026-04-13-27-AM.asp?sid=gumtree
12h
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In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle - from data discovery to insight delivery - while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.Key Responsibilities: Manage full data workflows: Data extraction, cleaning, preparation, and analysisCreate meaningful dashboards and visualisations to communicate insightsBuild and deploy statistical and machine learning models using SAS, Python, and SQLDevelop new AI-driven solutions for complex business problemsTranslate ambiguous or unstructured business challenges into clear analytical approachesWork within AWS and SAS Viya environments for development and deploymentCollaborate closely with business teams to understand needs before building solutionsPresent findings and recommendations in a clear, concise manner to stakeholdersJob Experience and Skills Required:Education:Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplinesStrong theoretical grounding in statistical modelling is essentialExperience:Strong background in data preparation, data wrangling, and exploratory analysisExperience working with SAS, Python, and SQL in production environmentsProven experience with machine learning or statistical modelsExposure to cloud technologies, preferably AWSExperience using data visualisation tools (e.g., SAS Visual Analytics or similar)Skills:Strong analytical and problem-solving abilityAbility to work independently and take full ownership of solutionsExcellent communication skills and the ability to tell a clear data-driven storyHigh levels of curiosity and willingness to experiment and learnStrong collaboration skills able to work closely with both technical and non-technical teamsEnjoys tackling challenging problems and thrives in a dynamic environmentFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1247387-Job-Search-12-18-2025-16-14-03-PM.asp?sid=gumtree
11h
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Youll become part of a dynamic and fast-growing actuarial consulting team recognised for technical excellence and innovative solutions. Working with leading insurers across South Africa, youll gain exposure to diverse portfolios, advanced modelling frameworks, and cutting-edge analytics in areas such as pricing, capital modelling, reserving, and IFRS 17. This role is perfect for an Actuary seeking deep technical engagement, autonomy, and the chance to influence key business decisions. You will collaborate with senior leadership while mentoring junior colleagues and helping define best-practice actuarial solutions for top-tier clients.Job Experience and Skills Required:Education: Bachelors Degree in Actuarial Science, Mathematics, Statistics, or a related disciplineExperience:Minimum of 7 years experience in general insurance, including pricing, reserving, or capital modelling.Qualified or near-qualified Actuary.Experience in project management and people leadership is a plus.Knowledge of SAM, ORSA processes, solvency calculations, valuations, and regulatory frameworks.Skills:Proficiency in R and/or Python for statistical modelling is advantageous.Strong analytical thinking and problem-solving ability.Excellent written and verbal communication and presentation skills.Ability to manage deadlines effectively and provide clear progress updates.High attention to detail and strong work ethic.Apply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Actuarial-Specialist-1247388-Job-Search-12-18-2025-16-14-03-PM.asp?sid=gumtree
11h
Executive Placements
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Data Analysis & Decision SupportFrame data analysis in terms of decision-making processes for business questions posed by stakeholdersAnalyse and optimise data within specific business areas to uncover opportunities for improvement, increased revenue, or cost reductionDesign and implement advanced quantitative models to support strategic decisionsTranslate complex data into actionable insights that drive business outcomesAI & Machine Learning StrategyContribute to Capitecs AI/Machine Learning roadmap and enable data-led decision-makingBuild predictive models using statistical and machine learning techniques and deploy them into production environmentsApply modern software development best practices and solution design for scalable analyticsCollaboration & Business IntegrationWork closely with stakeholders to gather requirements and translate them into business solutionsCollaborate across functional teams to ensure alignment with regulatory requirements and organisational objectivesSupport business analysis and contribute to the design and delivery of innovative solutionsTechnical ImplementationExtract, aggregate, clean, and analyse data from large relational databasesWork in cloud environments (Azure, AWS) and navigate hybrid setups (cloud vs on-prem)Apply version control and containerisation (e.g., Docker) for machine learning modelsEnsure compliance with NCR, POPIA, SARB, and other regulatory frameworks Skills & Experience:Strong programming skills (SQL, SAS) and database manipulationProficiency in data exploration, visualisation, and statistical model developmentAdvanced computer literacy and experience with multiple operating systemsAbility to productionalise models and apply complex machine learning methodologiesKnowledge of predictive modelling techniques and deployment processesFamiliarity with cloud computing and modern software development practices Qualifications:Degree in Mathematics, Statistics, Data Science, Business Analytics, Engineering, or Computer Science with 4+ years relevant experienceOR Honours Degree with 3+ years relevant experienceOR Masters Degree in Data Science or related discipline For more information contact:Recruitment Consultant
https://www.executiveplacements.com/Jobs/D/Decision-Scientist-1250298-Job-Search-01-12-2026-04-13-27-AM.asp?sid=gumtree
11h
Executive Placements
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Key ResponsibilitiesDevelop and execute the enterprise data and analytics strategy aligned with business prioritiesChampion data governance, quality, and compliance initiativesOversee data architecture, cataloging, and lifecycle managementDrive analytics use cases for support functions and integrate insights into business processesPartner with IT to build scalable, compliant data infrastructureLead and develop a high-performing teamJob Experience and Skills RequiredEducation:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science (Masters preferred)Experience:8+ years in data, analytics, or technology roles, with at least 3 years in leadershipProven success in bridging business and technology for enterprise-wide data deliveryStrong technical expertise in Azure Synapse, SQL, and data integration platformsIn-depth knowledge of data governance and compliance frameworksSkills:Advanced data architecture and analytics capabilitiesStrong leadership and stakeholder management skillsApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/E/EXECUTIVE-DATA-MANAGEMENT-AND-ANALYTICS-1246959-Job-Search-12-15-2025-04-12-58-AM.asp?sid=gumtree
11h
Executive Placements
1
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Key ResponsibilitiesDevelop and execute the enterprise data and analytics strategyChampion data governance, compliance, and quality initiativesOversee data architecture, cataloging, and lifecycle managementDrive analytics use cases for support functions and integrate insights into business processesPartner with IT to build scalable, compliant data infrastructureLead and develop a high-performing teamJob Experience and Skills RequiredEducation:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science (Masters preferred)Experience:8+ years in data, analytics, or technology roles, with at least 3 years in leadershipProven success in bridging business and technology for enterprise-wide data deliveryStrong technical expertise in Azure Synapse, SQL, and data integration platformsIn-depth knowledge of data governance and compliance frameworksSkills:Advanced data architecture and analytics capabilitiesStrong leadership and stakeholder management skillsApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/D/Data-Management--Analytics-Manager-1247399-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
12h
Executive Placements
1
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Key ResponsibilitiesDevelop and execute the enterprise data and analytics strategyChampion data governance, compliance, and quality initiativesOversee data architecture, cataloging, and lifecycle managementDrive analytics use cases for support functions and integrate insights into business processesPartner with IT to build scalable, compliant data infrastructureLead and develop a high-performing teamJob Experience and Skills RequiredEducation:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science (Masters preferred)Experience:8+ years in data, analytics, or technology roles, with at least 3 years in leadershipProven success in bridging business and technology for enterprise-wide data deliveryStrong technical expertise in Azure Synapse, SQL, and data integration platformsIn-depth knowledge of data governance and compliance frameworksSkills:Advanced data architecture and analytics capabilitiesStrong leadership and stakeholder management skillsApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/D/Data-Management--Analytics-Manager-1246960-Job-Search-12-15-2025-04-12-58-AM.asp?sid=gumtree
11h
Executive Placements
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Our client is a rapidly expanding actuarial consultancy, highly regarded for its technical depth and innovative approach. They work closely with top-tier insurers to deliver tangible value through sophisticated modelling, pricing optimisation, and robust regulatory support. In this role, youll enjoy a high level of autonomy, meaningful technical challenge, and clear leadership exposure. Youll be involved across diverse client portfolios, engage with senior stakeholders, and play a key role in mentoring junior actuarieswhile driving best-practice actuarial solutions.Key Responsibilities:Lead strategic actuarial projects for major insurersWork with advanced modelling techniques and IFRS 17Manage actuarial engagements across pricing, reserving, and capital modellingBuild and review complex actuarial modelsMentor junior team members and provide technical leadershipCollaborate with clients to deliver high-impact solutionsJob Experience and Skills Required:Education: Degree in Actuarial Science, Statistics, Mathematics, or a related discipline.Experience:Minimum of 7 years experience within short-term insurance (pricing, reserving, and capital modelling)Qualified or nearly qualified ActuaryProven project management and leadership experience (advantageous)Strong understanding of SAM, ORSA, solvency calculations, valuations, and regulatory requirementsSkills:Proficiency in R and/or Python for actuarial and statistical modelling (advantageous)Strong analytical thinking and problem-solving capabilityExcellent communication and stakeholder engagement skillsAbility to manage multiple deadlines and provide clear progress reportingHigh attention to detail with a strong sense of ownership and accountabilityApply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/N/Non-Life-Actuarial-Manager-1249806-Job-Search-01-09-2026-00-00-00-AM.asp?sid=gumtree
11h
Executive Placements
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Minimum Qualifications:Bachelors degree in a quantitative discipline such as Economics, Mathematics, Actuarial Science, Statistics, or Financial Engineering.A Masters degree in Finance or Financial Engineering is preferred, but not essential.Additional professional qualifications such as CQF (Certificate in Quantitative Finance) will be advantageous.Experience & Technical Requirements:3 to 7 years of experience in model risk management, model validation, and control processes.Solid understanding of relevant regulatory frameworks, including IFRS, PRA, and other global standards.Practical experience with risk modelling tools, particularly Python, and sound knowledge of model validation methodologies.Key Competencies:Advanced proficiency in Python and object-oriented programming.Strong quantitative analysis, statistical, and financial modelling capabilities.Highly methodical, detail-oriented, and self-driven approach.Exceptional attention to detail and ability to understand complex model structures.Excellent written and verbal communication skills, with the ability to present technical findings clearly to both technical and non-technical stakeholders.Proven ability to collaborate effectively within cross-functional teams.Ability to perform under pressure and adapt to evolving regulatory and business requirements.To Apply:Please forward your updated CV to
https://www.executiveplacements.com/Jobs/S/Senior-Quantitative-Analyst-1198955-Job-Search-06-30-2025-16-13-31-PM.asp?sid=gumtree
6mo
Executive Placements
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This is a fantastic opportunity to apply your technical expertise while gaining exposure across credit risk, finance, capital modelling, and fraud detection. Youll thrive in this role if you enjoy combining analytics with problem-solving, collaborating across teams, and building challenger models that truly influence decision-making.Key Responsibilities: Conduct independent validations of models across multiple domains.Develop and test challenger models to benchmark and enhance existing models.Analyse, monitor, and challenge scorecards, ensuring that they are accurate, reliable, and compliant.Collaborate with modelling and business teams to provide technical oversight and effective challenges.Support sound financial decision-making, risk management, and regulatory compliance.Job Experience and Skills Required:Education: Degree in Mathematics, Statistics, Actuarial Science, or Data Science.Experience:36 years experience in scorecard building, development, validation, and monitoring (credit risk or marketing models).Experience with data mining and predictive modelling.Skills:Solid understanding of the credit lifecycle.A collaborative approach and strong communication skills for working with both technical and business teams.Apply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-Decision-Science-1247391-Job-Search-12-18-2025-16-14-03-PM.asp?sid=gumtree
11h
Executive Placements
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In this role, youll work with large capital and debt datasets, improve and optimize debt review processes, and deliver insights that directly shape smarter operational and financial decisions. If youre excited by measurable impact, fast-paced environments, and high-value analytics, lets talk.Key Responsibilities:Analyze, interpret, and model capital & debt review data for strategic decision-makingManage and optimize debt review processes for improved efficiencyBuild analytical frameworks that enhance operational and business outcomesDeliver high-impact insights and recommendations to commercial and operational teamsJob Experience & Skills Required:Degree in Mathematics, Statistics, Actuarial Science, or another quantitative field (non-negotiable)Exceptional academic performance is essentialMinimum 2 years in a quantitative, analytics, or financial modelling environmentExposure to debt, credit, capital data, or processoptimization is a bonusStrong analytical and quantitative modelling capabilitiesProficiency in Python, R, SQL, Excel, or similar toolsCommercially minded with outstanding problem-solving skillsAbility to analyze large datasets, identify trends, and translate insights into actionNon-negotiables:Top-tier academicsCommercial instinctsAbility to manage & optimize processes with measurable outcomesApply Now!For more exciting Finance vacancies, visit:
https://www.executiveplacements.com/Jobs/Q/Quantitative-Analyst--Capital-Data--Debt-Revie-1248209-Job-Search-01-05-2026-04-13-23-AM.asp?sid=gumtree
11h
Executive Placements
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Our client is a leading financial institution that thrives on innovation, robust risk management, and data-driven insights. Theyre looking for a Model Validation Analyst (Decision Science) to validate and challenge models across credit risk, finance, capital modelling, and fraud detection. This is an opportunity to be at the heart of financial transformation where your work directly impactsbusiness-critical decisions. Key Responsibilities: Conduct end-to-end validation of credit risk, financial, and fraud models.Build and assess challenger models to ensure accuracy, robustness, and compliance.Apply data mining and predictive modelling techniques to support validation.Collaborate with business and technical teams to ensure models remain fit-for-purpose.Support regulatory compliance and sound risk management through rigorous model assurance. Job Experience and Skills Required: 36 years experience in scorecard development, validation, and monitoring (credit risk application/behavior models or marketing).Strong understanding of the full credit life cycle.Hands-on experience in data mining, predictive analytics, and model building.Excellent analytical skills, attention to detail, and ability to work across multiple model types.Collaborative mindset with proven ability to engage across technical and business teams.Bachelors degree in Mathematics, Statistics, Actuarial Science, or Data Science (Honors or postgraduate degree preferred).Apply now!
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-Decision-Science-1247398-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
12h
Executive Placements
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