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Results for model in "model" in Jobs in South Africa in South Africa
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The model validation function is critical to my clients organisation, ensuring the accuracy, reliability, and governance of models across risk, operations, and analytics.As a Model Validation Lead, you will provide technical expertise in validating advanced AI and ML models, mentor Analysts, and ensure adherence to governance standards. You will design and execute independent validations, develop challenger models, and collaborate with stakeholders. This role requires strong technical modelling skills and excellent collaboration to influence outcomes in a complex environment.Key Responsibilities: Provide subject matter expertise and guidance on the validation of models, particularly machine learning modelsEnsure that robust model governance and risk management processes are in placeLead independent validations across a range of models, including operational, risk, and analytics modelsMentor and support Analysts professional developmentDesign and implement challenger models using advanced ML methodsResearch new ML algorithms and methodologies to ensure that models follow best practiceEnsure that models meet governance, regulatory, and internal standardsPartner with development teams and stakeholders to provide challenges and assuranceContribute to the enhancement of model validation frameworks and best practicesJob Experience and Skills Required:Education: Bachelors Degree in Maths/Stats or a related fieldExperience: 6+ years of proven experience in model development, with direct model validation or review experience preferredStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML/statistical techniquesExperience with cloud platforms (AWS preferred) and emerging technologies, such as large language models, is a plusAbility to mentor and develop junior team membersExcellent communication and stakeholder engagement skillsAble to design and deliver end-to-end ML projects independentlyExperience with data mining, predictive modelling, and presenting findings to senior stakeholdersApply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/L/Lead-Model-Validation-1247392-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
17h
Job Placements
1
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
17h
Executive Placements
1
Key ResponsibilitiesDevelop and implement credit scoring models (PD, LGD, IFRS 9) across retail portfolios.Apply GLMs, survival analysis, and machine learning algorithms to build predictive, stable, and explainable models.Extract and manipulate large structured and unstructured datasets for modelling purposes.Conduct feature engineering, model validation, and performance monitoring.Collaborate with cross-functional teams across credit, risk, data science, and IT to deploy models into production.Lead documentation, governance, and presentation of models to internal risk committees.Contribute to research-led initiatives within credit analytics and advanced modelling techniques.Ideal Candidate ProfilePhD or MSc in Actuarial Science, Data Science, Applied Statistics, Quantitative Risk, or a related field.5+ years hands-on experience in credit risk modelling in a financial institution or consulting environment.Strong proficiency in R, Python, SQL, and tools like SAS, Shiny, or Emblem.Expertise in statistical frameworks such as GLMs, Cox regression, Markov models, or survival analysis.Experience using alternative data sources (e.g. transactional data, bureau data, behavioural data).A research mindset and a strong publication or presentation track record will be a distinct advantage.Whats in it for You?Shape the credit risk modelling roadmap across high-impact portfolios.Work on cutting-edge modelling techniques including machine learning, scorecard optimisation, and explainability.Join a team known for innovation in IFRS 9, survival modelling, and data science-driven credit strategies.Flexible hybrid work model and strong career growth prospects.Collaborate in a research-rich, intellectually curious environment.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Modeller--Scorecard-Development-1201092-Job-Search-07-08-2025-04-13-15-AM.asp?sid=gumtree
6mo
Executive Placements
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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
3h
Job 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
17h
Executive Placements
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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
17h
Executive Placements
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Risk Management Framework & DiagnosticsReview and benchmark trading and market risk functions.Conduct gap analysis against supervisory frameworks and recommend improvements.Advise on strengthening controls for risk identification, measurement, and monitoring.Internal Model Approval & Regulatory ComplianceSupport institutions in gaining regulatory approval for internal Value-at-Risk (VaR) models.Perform gap analysis between operating environments and regulatory requirements.Independently validate VaR models and provide quality assurance during approval processes.Quantitative Model SolutionsValidate VaR and derivative pricing models to ensure accuracy and robustness.Test modelling assumptions and incorporate findings into risk and pricing policies.Pricing & Valuation ServicesAdvise on mark-to-market and fair value appraisals across asset classes.Independently value trades and portfolios using advanced pricing techniques.Assist in designing IAS-compliant hedge programs and prepare portfolios for hedge effectiveness testing. Skills & Experience:Strong understanding of market risk frameworks and regulatory requirements.Expertise in quantitative modelling, including VaR and derivative pricing models.Proficiency in advanced pricing techniques and valuation methodologies.Experience with IAS-compliant hedge programs and accounting advisory processes. Qualifications:Degree in Finance, Economics, Mathematics, or related field.Familiarity with regulatory frameworks and internal model approval processes. For more information contact:Recruitment Consultant
https://www.executiveplacements.com/Jobs/M/Market-Risk-Specialist-1250570-Job-Search-01-12-2026-10-13-21-AM.asp?sid=gumtree
3h
Executive Placements
1
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About The Role/TeamThe Model Validation team is a critical function within the organisation, responsible for ensuring the accuracy, reliability, and governance of models across credit, finance, and fraud risk domains. The unit provides oversight, technical challenge, and assurance to support sound decision-making and regulatory compliance. This role requires strong technical modelling capabilities, the ability to collaborate with a wide range of stakeholders, and the professional maturity to influence outcomes in a complex and evolving environment. What Youll Be DoingProvide subject matter expertise, oversight and guidance with regards to the technical review and validation of models used in the organisation, particularly machine learning models. Ensure appropriate model governance and model risk management processes and standards are in place in order to manage model risk, improve and optimise model methodologies and usage. Lead and deliver independent validations across a range of models, including credit risk, operational optimisation, financial crime, and marketing campaigns. Provide technical oversight and mentorship to analysts, supporting skills development and professional growth. Design and implement challenger models using advanced machine learning methods. Research current and new machine learning algorithms to ensure proposed models are fit for purpose and market best practice is being followed. Ensure models meet governance, regulatory, and internal risk standards. Partner with model development teams and business stakeholders to provide effective challenge and assurance. Contribute to the ongoing enhancement of model validation methodologies, frameworks, and best practices. Requirements6+ years of proven experience in model development in the field of Data Science and ideally direct model validation or review experience. Strong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced statistical or machine learning techniques. Exposure to cloud platforms (AWS preferred) and emerging technologies such as large language models is desirable. Demonstrated ability to mentor and guide junior analysts, identifying skills gaps and supporting development. Excellent communication and stakeholder engagement skills, with the ability to work effectively across multiple teams and disciplines. Able to design and deliver end-to-end on all but the most complex ML projects without supervision. Data mining for use in analyses and predictive modelling. Have had own model(s) reviewed and validated or directly validated models in the past. Presenting and defending findings to model developers and senior management. Education
https://www.jobplacements.com/Jobs/L/Lead-Model-Validation-1244260-Job-Search-01-05-2026-00-00-00-AM.asp?sid=gumtree
8d
Job Placements
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Key Responsibilities:Design, build and implement credit scoring models (PD, LGD, IFRS 9) using structured and unstructured/alternate data.Develop machine learning and statistical models to enhance the credit vetting process.Conduct data mining, feature engineering, and statistical testing across large datasets.Work with risk, credit, analytics and technology teams to ensure models are integrated and performing optimally.Research and publish model documentation in alignment with governance and regulatory requirements.Engage with internal committees and influence modelling best practices across the business.Ideal Background:PhD/MSc in Actuarial Science, Data Science, Quantitative Risk, or similar.5+ years of hands-on experience in credit risk modelling, especially within a banking or financial services context.Strong foundation in GLMs, survival models, Markov models, or Cox-regression frameworks.Highly proficient in R, Python, SQL, and tools such as SAS or Emblem.Experience with R Shiny, dashboards, or model explainability tools will be a strong advantage.A track record of research publications, technical model development, and involvement in academic or industry collaboration projects is highly valued.What Sets This Role Apart:Shape and influence the modelling roadmap across multiple credit portfolios.Join an award-winning team with a track record of innovation in IFRS 9 and survival modelling.Work with data science, analytics, and credit risk specialists in a high-impact environment.Exposure to cutting-edge research, alternate data strategies, and real-world deployment.Flexible hybrid setup with career progression and thought leadership opportunities.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Modeller--Scoring-Models--Advanced-1200299-Job-Search-07-04-2025-04-13-31-AM.asp?sid=gumtree
6mo
Executive Placements
1
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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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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
3h
Job Placements
1
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Cloud Network Engineer: This role will be centered around the following functions: a) Statistical data processing (Data Mining) b) Artificial Intelligence (AI), including generative AI c) Predictive modelling using Machine Learning and Data Science techniques d) Time-series modelling and simulation models e) Development, validation and audit of financial, risk, marketing and business-oriented models f) R&D projects
https://www.executiveplacements.com/Jobs/C/Cloud-Network-Engineer-1202306-Job-Search-7-11-2025-6-39-46-AM.asp?sid=gumtree
6mo
Executive Placements
1
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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
17h
Executive Placements
1
I am recruiting on behalf of a specialist actuarial advisory environment for an Actuarial Executive with deep General Insurance expertise. This role is suited to a technically strong actuary who enjoys complex modelling, client-facing work, and shaping actuarial outcomes at a strategic level.Role OverviewYou will deliver high-impact actuarial services across reserving, pricing, capital modelling, and IFRS 17, while providing insight-driven advice to General Insurance clients and supporting senior leadership on complex engagements.Key ResponsibilitiesManage actuarial projects across short-term insurance, including reserving, pricing, and capital modelling.Review technical provisions including IBNR, UPR, AURR, and stochastic risk adjustment calculations using R/Python.Support and review IFRS 17 implementation and reporting for General Insurance clients.Provide HAF support and technical input.Perform capital modelling, including economic capital model reviews, challenger model development, and quantitative validation under SAM/RBC.Conduct reinsurance reviews and stochastic optimisation, including geospatial modelling.Support product pricing and design using GLMs, GAMs, and advanced statistical techniques.Build projection models for ORSA, FCR, and business planning.Produce high-quality actuarial reports with clear commercial insight and value-add.Perform market studies and actuarial research.https://www.jobplacements.com/Jobs/A/Actuarial-Executive--General-Insurance-1248484-Job-Search-01-06-2026-02-00-14-AM.asp?sid=gumtree
7d
Job Placements
1
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Our client is looking for a skilled Draughtsman to join their team. In this role, youll create and update 3D CAD models, manufacturing drawings, and BOMs using SolidWorks. Youll be involved in the full design process from concept development to final detail while ensuring all work meets strict modelling and drawing standards.Duties & responsibilitiesGenerate 3D CAD models and detail manufacturing drawings on Solidworks of new designs.Update models, drawings and BOMs of existing designs.Ensure models and drawings adhere to modelling and drawing standards.Attend design discussions, perform concept development through to detail design, issue drawings, load all part information in Syspro.Allocate stock codes, create material lists, update revisions, maintain Syspro database with updated stock codes.General assistance to Production, Sales and suppliers regarding drawings and technical queries.Place old stock codes on hold with alternative numbers.Qualification, skills, knowledge, experience, attributesQualification in draftingMinimum 5+ years experience as a design draughtsmanThorough and meticulousAttention to detailAbility to work under pressureMechanical/technical experienceKnowledge of tolerances e.g. geometric, limits and fitsComputer software experienceSolidWorks (Essential)Other engineering design software i.e. CADMS ExcelIf youre meticulous, technically minded, and ready to contribute to innovative designs, apply today.
https://www.jobplacements.com/Jobs/D/Design-Draughtsman-1250554-Job-Search-01-12-2026-10-07-25-AM.asp?sid=gumtree
17h
Job Placements
1
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Job Description:Develop and maintain accurate structural BIM models using Revit (Concept to IFC).Produce coordinated structural drawings including plans, sections, and details.Translate engineer markups and sketches into BIM models and documentation.Coordinate structural models with architects and other disciplines.Participate in clash detection and model coordination reviews.Ensure all models and drawings comply with BIM standards and project requirementsSkills & Experience: Minimum 35 years experience in structural engineering, materials science, or related fields.Strong working knowledge of Revit Structure; Navisworks and BIM coordination experience advantageous.Solid understanding of structural systems, materials, and behaviour, with hands-on testing or applied technical experience.Strong analytical, problem-solving, and technical writing skills.High attention to detail, effective communication, and ability to manage multiple tasks in a collaborative environment.Qualification:Masters degree (MEng / MSc) or PhD in Structural Engineering, Materials Science, or a related discipline.Bachelors degree in Civil or Structural Engineering (essential). Only South African Residents or individuals with a relevant South African work permit will be considered. Contact NHLAKANIPHO MKHWANAZI on
https://www.jobplacements.com/Jobs/S/Structural-BIM-Technician-1247851-Job-Search-12-29-2025-16-13-23-PM.asp?sid=gumtree
17h
Job Placements
1
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A leading financial solutions firm in Cape Town is looking for a driven professional who thrives on turning complex data into actionable insights. Join a growing consultancy specialising in sustainable credit and capital solutions. Working alongside industry experts, youll be responsible for building, improving, and transforming predictive and financial models that directly impact business performance.Here, innovation is encouraged, ideas are heard, and your technical expertise will be recognised. This role offers strong exposure to end-to-end modelling, business strategy, and hands-on analytics work ideal for someone who wants more autonomy and impact.Key Responsibilities:Build, enhance, and maintain predictive and financial models used in credit and capital decision-makingIdentify underperforming models and optimise or rebuild them for improved accuracy and efficiencyDevelop advanced dashboards and data solutions in Qlik to support business insights and reportingWork with large datasets and translate analytics into practical business recommendationsCollaborate with stakeholders and provide clear analytical insights to support decision-makingJob Experience and Skills Required:Education:BSc / BCom / Honours in Data Science, Actuarial Science, Statistics, Mathematics, or a similar quantitative fieldExperience:3+ years experience in a data analytics, data science, actuarial or quantitative modelling roleSkills:Advanced Qlik skills (QlikView / Qlik Sense) essentialProven experience in building and modifying predictive/financial modelsStrong proficiency in SQL, Python or RAbility to work independently, solve complex problems, and communicate analytical insightsNon-negotiable:Must reside in Cape Town and have own reliable transportApply now!For more exciting Finance vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1249803-Job-Search-01-09-2026-00-00-00-AM.asp?sid=gumtree
17h
Job Placements
1
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The ideal candidate will have expertise in developing and managing scorecards, profitability models, impairments, and credit policies, while leading a team of professionals.Key Responsibilities:Design, develop, and maintain credit risk models, including scorecards and profitability models.Drive strategic decision-making through advanced quantitative analysis.Oversee impairment calculations and ensure compliance with credit policies.Lead and mentor a team of analysts, fostering a culture of excellence and collaboration.Partner with stakeholders to optimize credit risk strategies and portfolio performance.Required Skills & Experience:Proven experience in banking with a focus on credit risk decisioning.Strong knowledge of scorecards, profitability models, impairments, and credit policies.High proficiency in:SQL;Python; andMicrosoft Office Suite.Demonstrated people management and leadership skills.Excellent analytical, problem-solving, and communication abilities.
https://www.executiveplacements.com/Jobs/S/Senior-Quantitative-Analyst-1250323-Job-Search-01-12-2026-00-00-00-AM.asp?sid=gumtree
17h
Executive Placements
1
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The Company:A rapidly growing African scale-up improving everyday lives by providing access to solar energy and smartphones through innovative financing, in-house technology, and broad distribution networks across the continent.Whats in it for you?You will join a purpose-led business that combines the stability of a large organisation with the agility of a small team, where you are trusted with meaningful responsibility from Day 1 in a high-expectation, high-support culture. Enjoy additional benefits such as share options, travel opportunities, hybrid flexibility and annual team retreats.Your Responsibilities?Drive Profitability Through Data: Develop, monitor, and refine pricing models to consistently achieve profitability targets. You will model the P&L impact of changes to pricing, credit policies, and commission structures.Credit Performance Forecasting: Build and maintain models to forecast key credit metrics, including repayment rates and portfolio losses. Your forecasts will be a critical input for financial planning and strategic decisions.Enhance our Credit Risk Models: Analyse diverse customer and behavioural datasets to build, backtest, and improve our automated credit scoring and risk-bucketing systems.Explore New Opportunities: Explore, test, and prototype new analytical models and data-driven projects to uncover opportunities for improving business performance and customer outcomes.Deliver Actionable Analysis: Go beyond just building models. You will investigate portfolio trends, identify drivers of good and bad performance, and provide clear, actionable recommendations to in-country teams.Own Commercial Outcomes: You will not stay in a spreadsheet. Youll be expected to own business outcomes, understand the second-order effects of your models on sales and underwriting teams, and do work beyond pure analysis to make things happen.What would make you ideal for the position?Education: Bachelors or Honours degree in Actuarial Science, Statistics, Data Science, Mathematics, or a related quantitative field.Technical Skills: Strong proficiency in SQL for data extraction and manipulation.Advanced skills in Python or R for statistical analysis, modelling, and data visualization (e.g., scikit-learn, pandas, seaborn).Experience in building and maintaining credit scorecards, pricing models, or complex financial forecasts. Familiarity with data visualization or dashboarding tools (e.g., Tableau, Power BI) is a plus.Soft Skills: Strong analytical and problem-solving abilities.A highly
https://www.executiveplacements.com/Jobs/C/Credit--Pricing-Analyst-1241406-Job-Search-01-07-2026-00-00-00-AM.asp?sid=gumtree
6d
Executive Placements
1
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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
17h
Executive Placements
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