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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
6d
Executive 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
5d
Job Placements
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Duties & ResponsibilitiesPerform forex trading administration functions.Fulfil all aspects of foreign exchange functions.Desired Experience & Qualification?????Completed bachelor’s degree in finance, Economics, Investment Management, Financial Markets, Accounting, Mathematics, Statistics, or a related field.Experience with Microsoft Office, including excel.At least 2 years of experience in forex trading and/or forex operations.
https://www.jobplacements.com/Jobs/E/Experienced-Forex-Trader-1252423-Job-Search-01-16-2026-02-00-17-AM.asp?sid=gumtree
2d
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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
5d
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
6d
Executive Placements
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Location: Johannesburg / HybridDivision: Financial Risk Management Credit Risk & Capital ManagementAre you looking to step into a role where your credit risk modelling expertise makes a measurable impact? We are looking for Assistant Managers and Managers, to join a growing Credit Risk & Capital Management team within a leading Financial Risk Management environment. About the Role:In this role, you will:Develop and review credit risk models for provisioning and regulatory capital requirements (e.g., IFRS 9, scorecards).Support planning, budgeting, execution, and close-out phases of projects.Assist in coding and automating financial risk models using Python, R, or SAS.Contribute to a coaching-focused culture, empowering team members to share ideas and challenge constructively.Gain exposure to a wide range of modelling techniques used by both local and globally systemically important banks. What Were Looking For: Relevant experience in quantitative credit risk modelling.Strong foundation in contemporary statistical techniques for credit risk.Coding experience with SAS, Python, or R.Excellent organizational and time management skills.Track record of managing small workstreams and mentoring junior staff.Ability to articulate quantitative concepts to technical and non-technical audiences.Comfortable working in a fast-paced, deadline-driven environment. Minimum Requirements: Honours or Masters degree in Quantitative Finance, Mathematics, Statistics, or a related quantitative discipline (FRM advantageous).At least 5 years experience in credit risk. Why Join? Work with a team of diverse quantitative specialists across actuarial, statistics, mathematics, and engineering disciplines.Gain exposure to the latest technologies and approaches in financial risk modelling.Build your expertise within a collaborative and empowering culture. If you are passionate about quantitative modelling and looking to elevate your career in credit risk, we would love to connect with you. How to Apply: If you meet the above requirements, please send your resume DIRECTLY to:
https://www.jobplacements.com/Jobs/C/Credit-Risk-Modelling-Manager-Assistant-Manager-1202745-Job-Search-07-14-2025-04-14-16-AM.asp?sid=gumtree
6mo
Job Placements
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Youll work with large datasets, write and improve SQL queries, and help create reports and dashboards using tools like Power BI and Excel. Youll also support basic statistical analysis and ad hoc requests, working closely with senior analysts and business teams to understand data needs and deliver accurate, reliable insights.Qualifications & Experience:Education: Bachelors degree in Mathematics, Statistics, Computer Science, or a related field (Non-negotiable)Experience: Minimum of 1-2 years of experience in an analysis role (Data Analyst/BI Developer/SQL Writer or similar)Technical Skills:Proficiency in SQL Reporting and experience with relational databases (e.g., MySQL, PostgreSQL, and SQL Server)Strong analytical skills and experience with statistical analysis tools (e.g., R and Python)Experience with data visualization tools (e.g., Power BI and Excel)Experience and knowledge working with Statistical Software (e.g., SAS) Key Responsibilities: Data Analysis: Collect, process, and analyze large datasets to provide actionable insights and support decision-making.SQL Development: Write and optimize SQL queries to extract, transform, and load data from various sources.Modeling: Develop and implement statistical models to predict and analyze business trends and outcomes.Reporting: Create comprehensive reports and visualizations to communicate findings to stakeholders.Collaboration: Work closely with other analysts, data scientists, and business units to understand their needs and deliver data-driven solutions.Quality Assurance: Ensure data integrity and accuracy through rigorous testing and validation processes.Ad Hoc Analysis: Conduct ad hoc analyses as required to support various business initiativesApply now!
https://www.jobplacements.com/Jobs/D/Data-Analyst-1251394-Job-Search-01-14-2026-00-00-00-AM.asp?sid=gumtree
4d
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Duties & ResponsibilitiesAssist in executing forex trades under senior trader supervisionMonitor global market movements, economic data, and news events.Support trade analysis, reporting, and risk management activities.Collaborate with the trading team to support daily operations.Desired Experience & QualificationCompleted bachelor’s degree in finance, Economics, Investment Management, Financial Markets, Accounting, Mathematics, Statistics, or a related field.Experience with Microsoft Office, including excel.Previous Experience is advantageous but not required.
https://www.jobplacements.com/Jobs/J/JuniorGraduate-Forex-Trader-1252424-Job-Search-01-16-2026-02-00-17-AM.asp?sid=gumtree
2d
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A leading financial services provider is looking for a technically astute Head of Risk to take the reins on enterprise-wide risk strategy. This is a high-impact leadership role, perfect for someone with a background in mathematics, statistics, engineering, or actuarial science who understands that behind every model is a mission: sustainable, risk-informed growth.What Youll Own:Design and embed a robust risk management framework across the businessLead the quantification and modelling of risk across credit, market, operational, and strategic domainsTranslate complex risk data into insights that drive executive decision-makingOversee regulatory compliance, stress testing, risk appetite setting, and scenario analysisCollaborate with actuaries, analysts, and executives to ensure alignment of risk and business goalsBuild and mentor a high-performing risk team thats both technically capable and commercially awareWhat You Bring:A degree in Mathematics, Statistics, Engineering, Actuarial Science, or a related quantitative field8+ years in enterprise or financial risk, with deep technical expertiseExperience with risk modelling, scenario planning, or capital adequacy frameworksExecutive presence and proven ability to engage at board levelBonus: Professional certifications like FRM, CRO, CERA, or similarWhy Youll Want This Role:Work with a forward-thinking team that values rigour, transparency, and real-world impactInfluence business-critical decisions through data, insight, and innovationOperate at the intersection of risk, strategy, and performanceLead transformation in how risk is measured, understood, and leveraged Ready to turn complexity into clarity and risk into resilience?Apply now and lead from the front.
https://www.executiveplacements.com/Jobs/H/Head-of-Risk-1202914-Job-Search-07-14-2025-10-13-20-AM.asp?sid=gumtree
6mo
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
6d
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
6d
Job Placements
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Job & Company Description:Im looking to connect with AI / ML Engineers who have hands-on experience developing, deploying, and maintaining machine learning models in production environments. By partnering with me, youll be considered for multiple upcoming roles.Key Responsibilities:Design, build, and deploy machine learning and AI models.Develop and optimise models using supervised and unsupervised learning techniques.Work with large datasets to train, test, and validate models.Deploy models via APIs and support integration into applications.Implement and support MLOps pipelines for model versioning and monitoring.Maintain technical documentation and best practices.Job Experience and Skills Required:Education:Degree in Mathematics or Applied Mathematics, Statistics, or related fields.Experience:2+ years experience as an AI / ML Engineer or similar role.Strong experience with Python for machine learning and data processing.Hands-on experience with Machine Learning and Deep Learning techniques.Experience with PyTorch (or similar frameworks).Exposure to LLMs / Generative AI and NLP use cases.Experience deploying models via APIs.Exposure to AWS and/or Azure cloud platforms.Understanding of MLOps principles and workflows.Experience with Docker and containerised deployments.Apply now!
https://www.executiveplacements.com/Jobs/A/AI-ML-Engineer-1252297-Job-Search-01-15-2026-22-12-37-PM.asp?sid=gumtree
2d
Executive Placements
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Responsibilities: • Managing projects, producing reports, performing reviews and analysing results in all areas of short-term actuarial services.• Reviewing technical provisions - IBNR, UPR, AURR, including stochastic risk adjustment calculations in R/Python.• Assisting clients with their IFRS 17 reporting requirements.• Providing HAF support. • Capital modelling, including reviews of economic capital models, building challenger models, and quantitative validation of the SAM/RBC standard formula. • Reinsurance reviews and stochastic optimisation, including geospatial modelling.• Product pricing and design, including reviews, working with GLMs, GAMs, etc.• Projection models for ORSA/FCR and business plans.• Providing technical advice to General Insurance clients.• Ensuring that reports include insight/value-add for clients.• Supporting the Associate Directors.• Performing market studies and research.• Maintaining and improving client relationshipsRequirements:• Bachelor’s degree in actuarial science, Statistics, Mathematics, etc.• At least seven years’ experience in General Insurance, pricing or reserving and capital modelling.• Qualified or near qualified actuary.• Experience in managing projects and people (advantageous).• Experience with SAM, ORSAs, valuations and solvency calculations will be beneficial.• Strong proficiency in statistical modelling techniques and programming languages such as R, would be advantageous.• Strong work ethic and highly motivated.• Effective communication and
https://www.jobplacements.com/Jobs/A/Actuarial-Executive-1252366-Job-Search-01-16-2026-02-00-16-AM.asp?sid=gumtree
2d
Job 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
13d
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
6d
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
6d
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
6d
Executive Placements
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Data Analyst | Sandton | PermanentMake data matter in a fast-moving insurance environment. This is an opportunity to work at the centre of decision-making, turning complex datasets into clear, actionable insight.This role sits across multiple business units and plays a key part in improving data quality, reporting efficiency, and commercial understanding. You will work with diverse insurance data sets, build automated reporting solutions, and support teams with insights that directly influence performance and risk management.Our client is a growing South African short-term insurer operating across specialist and traditional insurance lines. Known for technical depth and a strong risk framework, the business values agility, service excellence, and a high-performance culture.What You’ll DoAnalyse and interpret data relating to premiums, claims, policies, finance, and operationsDevelop and maintain dashboards and recurring reports for key insurance metricsExtract, clean, and integrate data from multiple internal and external sourcesInvestigate anomalies and ensure accuracy and consistency of reportingBuild automated data pipelines to improve efficiency and reliabilityProvide insights to underwriting, actuarial, claims, finance, and operations teamsWhat You BringDegree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, or similar1–2 years’ experience in a data-focused role, ideally within insurance or financial servicesStrong SQL skills, with Python or R as an advantageExperience using BI tools such as Power BI, Tableau, Qlik, or LookerAdvanced Excel capability, including dashboards and
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1251243-Job-Search-01-14-2026-02-00-48-AM.asp?sid=gumtree
4d
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Youll join a specialist credit and collections business where data drives strategy and execution. The organisation operates at the intersection of regulation, analytics, and collections, partnering closely with Debt Counsellors (DCs), Payment Distribution Agencies (PDAs), and recovery teams to optimise outcomes across the full debt review lifecycle. This is an environment that values innovation, accountability, and commercially driven insight.Key Responsibilities: Analyse Active DR, Pre-Term, and TDR portfolios to model payer behaviour, payment consistency, drop-off risk, cure potential, and lifecycle valueBuild and own portfolio segmentation, DC/PDA performance views, cohort analysis, seasonal trends, KPIs, yield forecasts, and reinstatement metricsMap end-to-end debt review workflows (Acquisition DC PDA Collections Distribution) and identify optimisation opportunitiesDesign and maintain a predictive modelling suite to support operational and commercial decisionsDevelop a Termination Decision Framework using NPV, break-even, ROI, and sensitivity analysisEstablish daily, weekly, and monthly BI reporting and mandate-level dashboards covering yield, ageing, reinstatements, and settlement upliftPartner with operational and senior stakeholders to translate analytics into execution-ready playbooksJob Experience and Skills Required:Education:Bachelors degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, or Computer ScienceHonours or Masters degree advantageousExperience:Minimum of 5+ years experience in credit or collections analytics, preferably within debt review or regulated environmentsProven delivery of predictive models and operational optimisation initiativesDemonstrated ability to convert analytical insight into measurable financial and operational outcomesSkillsAdvanced SQLPython or R for modelling and statistical techniques (segmentation, survival analysis, propensity modelling)Strong financial modelling capability (NPV, profitability, amortisation, ROI, sensitivity analysis)BI reporting and dashboard development across daily, weekly, and monthly cadencesEnd-to-end process mapping and workflow optimisation across DCs, PDAs, and post-termination recoveryNon-Negotiables:Strong understanding of the National Credit Act (NCA), debt review processes, PDAs, and DC behaviourAbility to influence operations and senior stakeholders with clear, confident communicationProven ability to turn analytics into execution through practical guardrails, playbooks, and measurable performance liftFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/S/Senior-Actuarial-Analyst-1249809-Job-Search-01-09-2026-04-13-46-AM.asp?sid=gumtree
6d
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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
7mo
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