Please note that our Terms & Conditions and Privacy Notice are applicable.
On Promotion in Jobs
Pay & Ship
Buy with confidence. Secure payment options & nationwide delivery. Learn more
Filter & refine
Clear All
Results for modeling with no experience in "modeling with no experience" in Jobs in South Africa in South Africa
1
SavedSave
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
15h
Job Placements
1
Key Responsibilities:Lead and deliver independent model validations across credit, finance, fraud risk and optimization models.Provide technical subject-matter expertise on AI and machine learning model review, governance, and risk management.Design and implement challenger models using advanced ML techniques.Offer mentorship, guidance, and technical oversight to Analysts in the team.Job Experience and Skills Required:Honours Degree (Masters preferred) in Mathematics, Statistics, or Data Science.6+ years experience in model development within data science, with exposure to model validation or technical reviews.Strong background in ML techniques, such as tree-based methods, neural networks, clustering and anomaly detection.Experience designing and delivering end-to-end ML projects.Comfortable presenting and defending model findings to Developers and senior stakeholders.Experience having your own models validated, or validating models directly.Solid knowledge of advanced ML and statistical modelling.Data mining and predictive modelling skills.Apply now!For more exciting Finance vacancies, please visit:
https://www.jobplacements.com/Jobs/L/Lead-Data-Scientist-Model-Validation-1243503-Job-Search-12-01-2025-00-00-00-AM.asp?sid=gumtree
1d
Job Placements
1
SavedSave
Job & Company Description:Im looking to connect with AI / ML Engineers who have solid experience across the full machine learning lifecycle from data preparation and model development to deployment and optimisation. By partnering with me, youll be considered for multiple upcoming roles where your AI and ML expertise will be in high demand.Key Responsibilities:Design, develop, train, and deploy machine learning models.Work with structured and unstructured data to build AI solutions.Implement data preprocessing, feature engineering, and model evaluation.Collaborate with data engineers and software engineers to productionise models.Monitor model performance and retrain models as needed.Research and apply new AI/ML techniques and algorithms.Document models, experiments, and best practices.Job Experience and Skills Required:Education:Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.Experience:3+ years experience as an AI / ML Engineer or Data Scientist.Strong programming skills in Python.Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).Solid understanding of machine learning algorithms and statistical methods.Experience working with data pipelines and large datasets.Familiarity with model deployment techniques (APIs, containers).Nice to Have:Experience with cloud ML platforms (Azure ML, AWS SageMaker, GCP AI).Knowledge of deep learning, NLP, or computer vision.Experience with MLOps tools and CI/CD for ML.Apply now!
https://www.executiveplacements.com/Jobs/A/AI-ML-Engineer-1247356-Job-Search-12-18-2025-16-13-24-PM.asp?sid=gumtree
15h
Executive Placements
1
SavedSave
Job & Company Description:Im looking to connect with Data Scientists who have solid experience across the data science lifecycle from data exploration and modelling to deployment and insight generation. Key Responsibilities:Analyse large, complex datasets to extract actionable insights.Build, train, and evaluate statistical and machine learning models.Perform data cleaning, feature engineering, and exploratory data analysis.Communicate findings and insights to technical and non-technical stakeholders.Collaborate with data engineers and software teams to deploy models.Monitor and improve model performance over time.Document methodologies, models, and best practices.Job Experience and Skills Required:Education:Degree in Data Science, Computer Science, Statistics, Mathematics, or related fields.Experience:3+ years experience as a Data Scientist or similar role.Strong programming skills in Python (and/or R).Experience with data analysis and ML libraries (Pandas, NumPy, Scikit-learn).Solid understanding of statistical analysis and machine learning algorithms.Experience working with large datasets and databases (SQL).Ability to translate data into business insights.Experience working in Agile environments.Nice to Have:Experience with deep learning frameworks (TensorFlow, PyTorch).Exposure to cloud data platforms (Azure, AWS, GCP).Experience with data visualization tools (Power BI, Tableau).Knowledge of MLOps and model deployment.Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1247355-Job-Search-12-18-2025-16-13-24-PM.asp?sid=gumtree
15h
Job Placements
1
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
15h
Executive Placements
1
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 they are accurate, reliable, and compliant.Collaborate with modelling and business teams to provide technical oversight and effective challenge.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-1243506-Job-Search-12-01-2025-04-13-04-AM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
As a Model Validation Analyst (Decision Science), you will be part of a highly specialised team responsible for ensuring the accuracy, robustness, and governance of models used across the business. You will collaborate with modelling and business teams, provide independent technical challenges, and build challenger models that influence strategic decision-making at scale.Whats in it for you? Work with industry-leading experts, gain exposure across multiple modelling domains, grow your analytical expertise, and make a tangible impact in an environment committed to innovation and client empowerment.Key Responsibilities:Conduct full end-to-end validations across credit risk, capital, finance, and fraud models.Develop and utilise challenger models to test current model performance and robustness.Provide independent technical challenges and assurance to modelling teams and stakeholders.Ensure regulatory compliance and strong model governance practices across all models.Job Experience and Skills Required:Education:Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data SciencePreferred: Honours Degree in the above fieldsExperience:36 years experience in scorecard development, validation, or monitoringStrong background in credit risk scorecards (application/behaviour) and predictive modellingExperience in data mining and analysisComprehensive understanding of the credit lifecycleSkills:Advanced analytical and problem-solving skillsAbility to collaborate effectively across business and technical teamsHigh attention to detail and ability to work across varied model typesOther Requirements:Clear criminal and credit record (non-negotiable)Apply now!For more exciting Finance vacancies, please visit: ð???
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-1243860-Job-Search-12-02-2025-00-00-00-AM.asp?sid=gumtree
1d
Executive 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
15h
Executive Placements
1
SavedSave
Key Responsibilities:Conduct full end-to-end validations across credit risk, capital, finance, and fraud models.Develop and utilise challenger models to test current model performance and robustness.Provide independent technical challenge and assurance to modelling teams and stakeholders.Ensure regulatory compliance and strong model governance practices across all models.Job Experience and Skills Required:Education:Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data SciencePreferred: Honours Degree in the above fieldsExperience:36 years experience in scorecard development, validation, or monitoringStrong background in credit risk scorecards (application/behaviour) and predictive modellingExperience in data mining and analysisComprehensive understanding of the credit lifecycleSkills:Advanced analytical and problem-solving skillsAbility to collaborate effectively across business and technical teamsHigh attention to detail and ability to work across varied model typesOther Requirements:Clear criminal and credit record (non-negotiable)Apply now!For more exciting Finance vacancies, please visit:ð???
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-1242939-Job-Search-11-27-2025-10-13-28-AM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
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-12-02-2025-22-29-56-PM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
Lead and mentor the Life Actuarial team, overseeing valuation, reporting, and modelling functions.Manage and deliver IFRS 17 reporting, ensuring technical accuracy and compliance.Oversee SAM regulatory submissions, capital adequacy monitoring, and solvency assessments.Drive profitability analysis, embedded value, and financial model enhancements to inform strategy.Job Experience and Skills Required:Education: Qualified Actuary (FASSA or equivalent).Experience: Minimum 3 years of actuarial management experience within a life insurance environment. Proven experience in IFRS 17, SAM, valuation, and profit modelling.Skills: Advanced Excel and actuarial modelling systems (e.g. Prophet, DCS, SQL, R or Python advantageous). Strong communication and stakeholder management skills.Other: Commercially minded, detail-oriented, and able to translate actuarial outcomes into strategic business insights.
https://www.jobplacements.com/Jobs/A/Actuarial-Life-Manager-1242474-Job-Search-11-26-2025-04-13-13-AM.asp?sid=gumtree
1d
Job Placements
1
SavedSave
Duties:Lead and mentor the Life Actuarial team, overseeing valuation, reporting, and modelling functions.Manage and deliver IFRS 17 reporting, ensuring technical accuracy and compliance.Oversee SAM regulatory submissions, capital adequacy monitoring, and solvency assessments.Drive profitability analysis, embedded value, and financial model enhancements to inform strategy.Job Experience and Skills Required:Education: Qualified Actuary (FASSA or equivalent).Experience: Minimum 3 years of actuarial management experience within a life insurance environment. Proven experience in IFRS 17, SAM, valuation, and profit modelling.Skills: Advanced Excel and actuarial modelling systems (e.g. Prophet, DCS, SQL, R or Python advantageous). Strong communication and stakeholder management skills.Other: Commercially minded, detail-oriented, and able to translate actuarial outcomes into strategic business insights.
https://www.jobplacements.com/Jobs/A/Actuarial-Life-Manager-1243848-Job-Search-12-02-2025-04-13-26-AM.asp?sid=gumtree
1d
Job Placements
1
SavedSave
The ideal candidate will hold a BCom Degree and come with a minimum of 3 years experience in a Finance Manager role. Strong technical knowledge of financial statements, budgets, and reporting is essential. The position requires someone who has experience preparing management packs, building financial models from scratch, and who is confident engaging directly with clients.A modelling assessment will form part of the recruitment process. Personality fit is important, as the role demands strong interpersonal and client relationship skills. Travel to clients will be required.Duties & Responsibilities:Prepare comprehensive reporting packs and management accounting packs.Analyze and interpret financial statements, budgets, and performance data.Build customized financial models and provide strategic insights.Work closely with large clients across various industries.Deliver high-quality reporting solutions and advisory support.Engage with stakeholders and ensure strong client service delivery.Travel to client sites as needed.Qualifications & Experience:BCom Degree required.Minimum 3 years experience in a Finance Manager role.Strong understanding of financial statements and budgeting processes.Experience building financial models (modelling test applicable).Proven exposure to large, diverse client portfolios.Strong communication style and a positive, professional personality.Willingness to travel for client engagements.Apply Now!!
https://www.executiveplacements.com/Jobs/S/Senior-Reporting-Consultant-1243343-Job-Search-11-30-2025-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
Join a forward-thinking financial services organisation committed to innovation, growth, and delivering client-centric life insurance solutions. This role offers the chance to take ownership of the life pricing function, build methodologies, uplift modelling capability, and influence key commercial decisions.As the Life Actuarial Manager, youll play a central role in developing competitive pricing strategies, guiding product enhancements, embedding advanced analytics into actuarial models, and ensuring actuarial governance across the life product suite. You will also partner with cross-functional teams to shape product direction and ensure commercial sustainability.Whats in it for you? Strategic influence, leadership exposure, the opportunity to build and refine pricing frameworks, involvement in next-generation modelling tools, and career growth within a high-performing actuarial environment.Key Responsibilities:Lead and govern pricing methodologies, models, and actuarial frameworks for life insurance productsDevelop competitive, data-driven pricing strategies using GLMs, predictive models, and advanced analyticsReview and monitor product performance, profitability, lapse metrics, and cost structuresProvide strategic insights to Product, Sales, Marketing, CVM, and Executive teamsEmbed new methodologies, automation, data-driven tools, and AI-driven enhancements into pricing processesOversee actuarial governance, peer reviews, and pricing approval processesLead, mentor, and grow a high-performing actuarial pricing teamJob Experience and Skills Required:Education:BSc Actuarial Science / Actuarial Mathematics / Statistics (NQF 7 min)Fully qualified Fellow Actuary (non-negotiable)Honours Degree preferred (NQF 8)Experience:Minimum 5 years actuarial experience in life insurance or related product linesDemonstrated leadership or people management experienceStrong experience in life pricing, product development, financial modelling, GLMs, and predictive modellingExposure to life insurance regulatory frameworks and actuarial governanceSkills:Advanced technical capability in actuarial modelling, pricing tools, and predictive analyticsDeep commercial understanding and strategic decision-making abilityExcellent stakeholder engagement and communication skillsProficiency in emerging analytics technologies, automation, and AI-driven modelling toolsNon-negotiables:Fully qualified Fellow ActuaryStrong technical pricing and modelling expertiseProven leadership and team management experienceApply now!For mo
https://www.executiveplacements.com/Jobs/L/Life-Actuarial-Manager-1242993-Job-Search-11-28-2025-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
Key ResponsibilitiesValidate models across forecasting, stress testing, pricing, IFRS 9, capital, and fraudDevelop independent challenger models to assess accuracy and performanceReview model methodologies, assumptions, and governance documentationCollaborate with technical and business stakeholders to provide insights and recommendationsJob Experience and Skills RequiredEducation:Minimum: Degree in Mathematics, Statistics, or Actuarial ScienceIdeal: Honours in Data Science, Statistics, Mathematics, or Actuarial ScienceExperience:36 years in financial modelling (forecasting, stress testing, pricing, capital modelling, IFRS 9)Exposure to model development or validation environmentsSkills:Advanced analytical and quantitative abilityStrong coding skills (SQL, Python, R advantageous)Excellent attention to detail and communication skillsCollaborative mindset with ability to work across teamsNon-negotiables:Proven financial modelling experienceAbility to deliver in a fast-paced environmentApply now!For more exciting Finance vacancies, please visit:
https://www.jobplacements.com/Jobs/E/Experienced-Modeller-1245801-Job-Search-12-09-2025-22-13-11-PM.asp?sid=gumtree
1d
Job Placements
1
SavedSave
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
1d
Executive Placements
1
ENVIRONMENT: OUR client is redefining how insurance and technology work together and is looking for an experienced Actuarial Business Analyst with a strong focus on leading a team of Data Scientists to design, develop, and implement Machine Learning models. The role involves evaluating and quantifying the business impact of these models, translating complex analytical outputs into clear, actionable insights, and ensuring operational teams fully understand and leverage the results. You will act as the key bridge between Data Science and business, driving measurable value through advanced analytics. The successful incumbent must possess an Honours/Degree in Actuarial Science with 7 years’ experience in the Insurance or Financial Services sector (preferably short-term insurance) including proven experience in developing statistical and/or Machine Learning models. You also require proficiency in BI tools such as Power BI, Qlik Sense, Tableau, or similar platforms.DUTIES:Leadership & Team Management -Lead and mentor a team of Data Scientists to deliver impactful Machine Learning solutions.Foster a culture of innovation, collaboration, and continuous improvement.Model Development & Evaluation -Oversee the development, testing, and deployment of Machine Learning models.Evaluate and quantify the business impact of analytical solutions.Ensure models are accurate, relevant, and fit-for-purpose.Stakeholder Engagement -Serve as the primary liaison between the Data Science team and business stakeholders.Translate technical concepts into actionable recommendations for both technical and non-technical audiences.Communicate insights effectively, ensuring operational adoption of model outputs.Project & Requirements Management –Gather, define, and document business and technical requirements for Data Science projects.Ensure projects align with strategic business objectives and deliver measurable outcomes.Best Practice & Process Improvement -Champion best practices in analytics, modelling, and business integration.Identify opportunities to improve modelling approaches and operational use of analytics.REQUIREMENTS:Qualifications –Degree or Honours in Actuarial Science.Experience/Skills –Minimum 7 years’ experience in the Insurance or Financial Services sector (preferably short-term insurance).Proven experience in developing statistical and/or Machine Learning models.Demonstrated ability to assess and articulate the business impact of Machine Learning models.Previous leadership experience within Data Science, Analytics, or Actuarial teams.Experience with Claims Modelling
https://www.executiveplacements.com/Jobs/A/Actuarial-Business-Analyst-Data-Science-and-Machin-1246195-Job-Search-12-11-2025-02-00-36-AM.asp?sid=gumtree
8d
Executive Placements
1
Core competencies (non-negotiable)Specialized Software Proficiency: Intermediate to advanced user level of competency in PLEXOS, Balmorel, OSEMOSYS, TIMES, or others (ability to build capacity expansion and unit commitment models from scratch, not just run existing ones).Strong project management skills requiredPolicy & Strategy Acumen: Experience translating technical results into policy insights (e.g., contributing to the IRP/gas masterplan/ municipal/enterprise level electricity masterplans).Research Leadership: Proven ability to formulate research questions, manage data collection projects, and lead technical task teamsEducation and experience required:Masters degree in electrical/mechanical/industrial engineering, mathematics, science or equivalent with at least five years working experience in the energy sector, of which three years should be in energy modellingStrong network in the public and private sectors as links to sustainable energy supply, with a track record of working with clients and obtaining contract R&D in the field.Familiarity with modelling approaches for energy planning and modelling and project management experience.
https://www.executiveplacements.com/Jobs/S/Senior-ResearcherEngineer-Energy-Systems-Energy-mo-1246103-Job-Search-12-10-2025-10-23-30-AM.asp?sid=gumtree
1d
Executive Placements
1
SavedSave
This opportunity is perfect for a proactive and solutions-driven finance professional who thrives on financial modelling, analytical problem-solving, and presenting impactful insights to senior leadership teams.Duties & Responsibilities:Compile and review financial reporting packs and management accounts for various clients.Develop, refine, and maintain complex financial models to support analytical and reporting needs.Analyse financial statements, budgets, forecasts, and performance trends.Work closely with client finance teams to enhance processes and reporting structures.Conduct financial modelling assessments and provide meaningful insights based on data.Travel to client sites when required.Qualifications & Experience:BCom in Accounting, Finance, or a related field (essential).Minimum 3+ years experience in a Financial Manager or senior reporting capacity.Demonstrated experience partnering with large organisations across multiple sectors.Advanced Excel and financial modelling capabilities, including building models from the ground up.Solid understanding of financial statements, budgeting frameworks, and management reporting principles.Strong interpersonal skills with a polished, client-focused communication style.Apply Now!!If you are a detail-driven and commercially minded finance professional who enjoys translating data into actionable insights, apply directly today at
https://www.executiveplacements.com/Jobs/S/Senior-Reporting-Consultant-1241490-Job-Search-11-21-2025-00-00-00-AM.asp?sid=gumtree
13min
Executive Placements
1
SavedSave
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
15h
Executive Placements
Save this search and get notified
when new items are posted!
