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Asset Manager CA(SA) Stellenbosch
Our client is looking for a recently qualified CA(SA) or a CA(SA) with 1-2 years’ experience within the financial services/asset management/property industry to take ownership of the asset management function across a portfolio of retail and commercial office properties in the Western Cape. The role focuses on the full asset management lifecycle—financial analysis, leasing support, budgeting/forecasting, performance reporting, stakeholder engagement, cash flow management, debt management and structuring, and execution of value-enhancing initiatives (Solar, water, utilities, security upgrades) — within a small, hands-on team.
Salary Negotiable
Required Qualifications & Experience
CA(SA) – Recently qualified or 1-2 years experienced as CA(SA) looking to work in property asset management industry.Strong financial literacy: ability to interpret feasibilities, cash flow planning, management accounts, build/understand budgets, forecasts, and evaluate deal economics.If recently qualified as a CA(SA) working with property or asset management clients will be seen as an advantageIf 1-2 years’ experience post CA(SA) coming from property or an asset management company will be seen as an advantage.Exposure / Experience to property financial statements, lease concepts, and/or management accounts is advantagesAdvanced Excel and Power BI are increasingly valued.Strong financial analysis and Excel capability (models, sensitivities, clean presentation of outputs).High attention to detail with the ability to step back and interpret the story behind the numbers.Structured, deadline-driven, able to manage multiple workstreams in a small team.Strong written and verbal communication (comfortable summarising findings for executives).Commercial curiosity and willingness to learn property/retail dynamics.
Key Responsibilities
Portfolio Performance & ReportingBudgeting, Forecasting & Financial ManagementLeasing Support (Retail & Commercial)Property & Operations InterfaceStakeholder & Service Provider ManagementStrategic Projects & Portfolio Growth
Please apply online
FROGG RecruitmentConsultant Name: Quinton Wright
Stellenbosch
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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-1270288-Job-Search-03-10-2026-04-13-29-AM.asp?sid=gumtree
12h
Executive 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
8mo
Executive Placements
1
ESSENTIAL SKILLS:SAP SD CertificationVast SAP SD experienceOperations experience (ticket handling, problem, incident management)Any additional responsibilities assigned in the Agile Working Model (AWM) CharterADVANTAGEOUS SKILLS:SAP FI ExperienceSAP MM ExperienceSAP ABAP debuggingIDocs, AIFSAP S/4 HANAJira and Confluence experienceStrong interpersonal, communication & presentation skillsQUALIFICATIONS:Relevant IT / Business Degree or Certifications5+ years experience
https://www.executiveplacements.com/Jobs/S/SAP-Functional-Consultant-Senior-3162-1270080-Job-Search-03-09-2026-10-23-03-AM.asp?sid=gumtree
12h
Executive Placements
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Role Title (Role Level): SAP Functional Consultant (Senior)Product / Feature Team Information (if applicable)SRM.NEXTESSENTIAL SKILLS REQUIREMENTS:· SAP MM Certification· SAP MM Solid experience· MM Expertise· Any additional responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS:· SAP S4/HANA experience· SAP Materials Management Module Configuration· Development documentation· Analyse and solve SAP Module issues· Conduct SAP Module process configuration· Update and maintain all SAP Module functional documentation· Analyse and scope End-user authorisation roles· Conduct Unit tests, Integration tests and System Integration security tests· Proactively propose solutions to improve the support of (new) business processes· ABAP debugging beneficial (Workbench related knowledge of new development/enhancements)WHICH QUALIFICATIONS/EXPERIENCE DO WE NEED FOR THE ROLE? IT Degree and/or relevant qualifications / 8+ years of experienceWHAT WILL BE YOUR ROLE AND RESPONSIBILITIES?· SAP MM Configuration· Understand the business requirements, preparing AS-IS, and TO-BE documents and get sign-off from users for Business Blueprint document· Setting up the organization structure of Materials Management and perform all relevant configuration for example Purchase Organisation, Valuation Area Plants, Storage Location and Warehouse structure, etc· Analyse and provide solutions to the MM process· Update and maintain all SAP MM functional documentation.· Conduct Unit tests, Integration tests and System Integration security tests.· System Monitoring including Idocs Monitoring and processing· Following the Agile Methodology i.e., sprints, scrum meetings, retros in a DevOps environment· Integration testing with other modules· Understand interfaces, IDOC and RFCs processing· Preparing the cut over strategy for MM objects· Preparing User manuals and conducting training to business process owners· Go-live preparation and post Go-live support· Interaction with clients through meetings, calls, and emails· Handling Tickets and Tasks with the responsibility for closing the same within defined SLAs (Service Level Agreements)· Responsible for troubleshooting issues for the system and
https://www.executiveplacements.com/Jobs/S/SAP-Functional-Consultant-Senior-3139-1200013-Job-Search-07-03-2025-04-36-11-AM.asp?sid=gumtree
8mo
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ESSENTIAL SKILLS:Strong ABAP and ABAP OO developing skillsExperience with data extraction and provisioning (OData/Restful APIs, RFC, BAPI, ODP)Experience with performance tuning, ABAP objects, analysing ABAP logs/dumpsSAP ABAP Development & Debugging experienceUnderstanding of BW Modelling Possibilities for ex. BW artefactsCDS Views, annotations, extensions implementation and enhancementsAny additional responsibilities assigned in the Agile Working Model (AWM) CharterADVANTAGEOUS SKILLS:Deep dive in performance analysis on NetWeaver and HanaAbility to resolve & implement ABAP/BW Related Incidents & Changes (ITSM incident and changes)Any additional responsibilities assigned in the Agile Working Model (AWM) CharterVery strong understanding of optimized data retrieval and code performance techniquesCDS exposed and classic OData services implementation and enhancementsSAP BWonHanaSAP BW4HANASAP HANA XSA and XSC development experienceFamiliarity with SAP HANA and its integration with BW can be an advantageSAP Solution Manager experienceSAP Analytics CloudSAP DatasphereExperience across any other SAP modulesSAP BTPFair knowledge of Cloud platforms (AWS)Kafka knowledgePython development experienceJavaQUALIFICATIONS:5+ years SAP ABAP OO development experience5+ Extensive experience in oData / restful API development5+ years ABAP development experience3+ years experience in SAP BW (BWonHANA & BW4HANA)3+ years experience working with various user applications3+ years experience in Conducting Unit tests and Integration tests3+ years experience in HANA development
https://www.executiveplacements.com/Jobs/S/SAP-ABAP-Developer-Senior-2495-1196800-Job-Search-06-23-2025-10-15-50-AM.asp?sid=gumtree
8mo
Executive Placements
1
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About Our ClientOur client is a boutique analytics consulting firm specializing in data analytics and statistical modelling to deliver actionable insights for various industries. They currently have a strong focus on Tourism and Retail while actively expanding into additional sectors. Their work centers on helping clients make better decisions through rigorous quantitative analysis.The Role: Data Scientist (Junior to Mid-Level)The purpose of this role is to support a growing project pipeline by providing strong analytical skills and technical expertise. This role contributes to the business by translating client challenges into data-driven solutions and converting technical outputs into practical advice. The main focus areas include statistical modelling, AI/LLM applications, and supporting the full market research process.Key Responsibilities2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research is required.Build, validate, and interpret statistical and predictive models including regression, cluster analysis, and dimension-reduction techniques.Apply AI engineering approaches and Large Language Models to solve client problems and analyse unstructured text data.Perform end-to-end data work including collection, cleaning, feature engineering, and quality assurance using Python, R, and SQL.Support the analytical market research process from survey design through to methodology selection and insight delivery.Assist in developing professional PowerPoint presentations to communicate complex findings and recommendations to clients.Collaborate with the team on project delivery, quality reviews, and client workshops.Utilize data visualization libraries or tools where required.About You2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research.Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or at least 4 years of relevant experience.Strong proficiency in Python and/or R.Solid SQL skills for data querying and manipulation.Practical exposure to AI/LLM applications and text analytics.Demonstrated ability to apply statistical/predictive models and multivariate techniques.Good working knowledge of Microsoft PowerPoint for creating client-ready decks.Industry or consulting experience in an analytical environment is ideal.
https://www.executiveplacements.com/Jobs/D/Data-Scientist-Junior-to-Mid-Level-1270200-Job-Search-3-10-2026-6-29-34-AM.asp?sid=gumtree
12h
Executive Placements
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Job Description:Develop precise 2D designs and translate them into 3D models for mechanical systems and components, ensuring they meet functional, efficiency, and specification standardsContribute to all phases of mechanical projects, from manufacturing and assembly through to on-site installation for clientsTake part in concept discussions and design reviews to confirm that proposed solutions align with project requirements Skills and ExperiencePractical experience working with 3D CAD softwareAt least 3 years of post-graduate, hands-on industry experienceStrong organisational, task-handling, and time-management abilitiesBackground in automotive engineering development or a related field is advantageousClear and effective communication skills in both English and AfrikaansProficiency with Microsoft Office and relevant design tools such as SolidWorks, AutoCAD, and Autodesk Inventor QualificationsMatricBEng or BTech in Mechanical Engineering.\Only South African residents will be considered Contact RIAAN MOSTERT on
https://www.jobplacements.com/Jobs/M/Mechanical-Design-Engineer-1266925-Job-Search-02-27-2026-10-14-09-AM.asp?sid=gumtree
1d
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Role Overview:The Technical Manager will lead all technical operations within the business, including service delivery, support, engineering, infrastructure management, and project execution.This is a hands-on leadership position overseeing a team of 6 technical professionals (4 direct and 2 indirect reports). The role requires strong technical depth, structured people management, and a passion for building a world-class service delivery model.You will collaborate closely with the CEO, prepare solution designs and project proposals, and play a central role in shaping the companys technical standards, operating model, and long-term infrastructure strategy.Who Were Looking For:An exceptional technical leader who is:Calm, authoritative, and highly capable in complex environmentsStrong on discipline, structure, documentation, and processesConfident guiding technical teams and enforcing high standardsAble to translate complexity into clear, actionable solutionsPassionate about building predictable, reliable, and scalable technical operationsAble to balance firmness with empathy, communicate clearly with clients and non-technical audiences, and make sound decisions under pressure Key Responsibilities: Technical Leadership & Architecture:Define and maintain solution standards, architecture, and change control processesTranslate business and client needs into scalable, supportable technical solutionsMaintain standardised technology stacks across clientsProvide hands-on technical guidance and L1L3 escalation supportLead root cause analysis and implement long-term remediationDevelop per-client infrastructure strategies, documenting risks and recommended improvements Service Delivery & Support:Oversee daily operational support, ensuring SLA and response time adherenceLead and develop a team of 6 technical staffDrive high-quality ticket management and documentation discipline (Zoho Desk)Own escalation processes and complex incident handlingEnsure that monitoring and alerting platforms operate effectively Project & Change Management:Plan and deliver projects such as migrations, upgrades, network deployments, and cloud transitions
https://www.executiveplacements.com/Jobs/T/Technical-Manager-1245028-Job-Search-02-16-2026-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
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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-1266753-Job-Search-02-27-2026-04-13-10-AM.asp?sid=gumtree
11d
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Minimum 24 years experience as a Data Scientist or Credit AnalystA completed degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a closely related field no shortcuts to the majorsA solid credit and financial risk background no benchwarmers hereStrong hands with Python or R, SQL, and statistical modellingExperience swinging at machine learning models built for credit riskA sharp understanding of credit scoring, risk metrics, and portfolio performanceA degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related fieldWhy Apply??Because legends arent made watching from the dugout. Theyre made by stepping up, calling your shot, and changing the game.If youre ready to swing for the fences and let your data do the talking step up to the plateContact Chelsea Fisher on
https://www.jobplacements.com/Jobs/D/Data-Scientist-1266538-Job-Search-02-26-2026-10-14-14-AM.asp?sid=gumtree
1d
Job Placements
Junior Mechanical Draftsman – East Rand (Contract or Permanent)We’re looking for a junior mechanical draftsman who’s strong with Autodesk Inventor—AutoCAD or Solidworks is a bonus.You’ll handle 3D modelling, shop drawings, BOMs, fast revisions, and coordinating drawings between the workshop floor and drawing office. Fresh grads welcome if you can start strong—no babysitting.Contract: 6–12 months to begin, permanent possible if we gel.Salary: R15k–R25k pm (contract) (perm), depending on experience.Send your CV, portfolio (even basic models), and a quick note on why you’re interested. East Rand preferred.Reply to admin@logandload24.net or DM. Ready to start soon.
6d
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This exciting opportunity sits within a forward-thinking organisation that invests heavily in data innovation, advanced analytics, and digital transformation. As a Senior Data & Insights Analyst, you will play a key role in driving strategic insight delivery across the business, working with cutting-edge tools, advanced modelling techniques, and complex datasets.Youll join a collaborative team that values curiosity, problem-solving, and continuous improvement. With exposure to senior stakeholders, diverse datasets, and high-impact projects, this role is ideal for someone who thrives on solving meaningful business challenges through data.Enjoy the autonomy to shape analytical direction, mentor junior analysts, and deliver insights that directly support commercial growth and customer excellence.Key Responsibilities:Analyse complex, fragmented, and large-scale datasets to deliver actionable business insightsBuild advanced predictive models including defaults, collections, profitability, and forecastingDevelop robust data models and visualisations using SQL, Python, and Power BIPartner with key stakeholders to identify opportunities, translate requirements, and influence data-driven decision-makingJob Experience and Skills Required:Education:Relevant degree in Data Science, Analytics, Statistics, Computer Science, or a related fieldExperience:58+ years experience in analytics, insights, or advanced data rolesProven experience in SQL, Power BI, and strong data modelling capabilityHands-on Python proficiency and exposure to strategic or innovation projectsExperience building predictive models beyond standard credit scoring (defaults, collections, profitability, forecasting)Strong background in customer analytics: segmentation, behavioural insights, telematics, and profitability analysisExperience mentoring junior analysts and leading insight deliverySkills & Non-Negotiables:Solid analytical and problemâ??solving capabilityCommercially minded with strong stakeholder engagement skillsAbility to turn fragmented datasets into clear, actionable business insightsApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Analytics-Specialist-1263032-Job-Search-02-17-2026-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
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Designing and implementing production grade ML/AL featuresTraining, deploying and supporting machine learning models in live environmentsEngineering scalable services within distributed, microservice based systemsWorking with large, complex datasets to extract meaningful insightsBuild systems that process massive, real-time data volumesSkills & Experience: Minimum 3+ years of hands-on experience in data science or data-focused software engineeringProven experience deploying ML/AI models into productionStrong programming skills in Python and/or JavaSolid understanding of software engineering with large datasetsComfortable in Unix based environments (scripting, troubleshooting, networking_Experience with CI/CD pipelines for ML workflowsQualification:Bachelors Degree in Data Science, Computer Science, Engineering, Applied Mathematics or similar Contact Penny Janse Van Rensburg on
https://www.jobplacements.com/Jobs/D/Data-Scientist-1264023-Job-Search-02-19-2026-04-13-34-AM.asp?sid=gumtree
1d
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The organisation builds intelligent digital infrastructure that enables greater financial access, improved risk assessment, and smarter market participation for underserved segments. Data sits at the heart of its products, powering decision engines used across lending, risk, fraud, and customer lifecycle management.This role reports into the executive leadership of the decisioning function and plays a critical part in shaping the enterprise-wide AI strategy.As the Head of Data Science, you will define and execute the end-to-end data science strategy from model research and experimentation through to scalable deployment in live production environments.You will lead a multi-disciplinary team of data scientists and ML engineers while partnering closely with Product, Engineering, Risk, and Compliance divisions to ensure that solutions are commercially effective, technically robust, and aligned with regulatory expectations.This is both a strategic and hands-on leadership position within a high-growth, innovation-led environment.Key Responsibilities:Define and execute the data science vision, strategy, and roadmapBuild, lead, and mentor a high-performing team of data scientists and ML engineersOversee the design, development, and deployment of advanced ML models across risk, fraud, forecasting, and segmentationEnsure production-grade model implementation, monitoring, and optimisationPartner closely with Product and Engineering to embed models into business systemsCollaborate with Risk and Compliance teams to ensure regulatory alignment, fairness, and explainabilityEstablish best practices in data governance, feature engineering, experimentation, and MLOpsDefine performance metrics to measure the business impact of data initiativesChampion a culture of innovation, experimentation, and continuous improvementJob Experience and Skills Required:Experience:10+ years experience in data science and machine learningMinimum 3 years in a senior leadership or team management roleProven experience within regulated financial services (e.g., credit, lending, fraud, and risk)Demonstrated success delivering and deploying ML models at scaleExperience working in high-growth or scaling technology environments advantageousEducation:Masters or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field (preferred)Bachelors degree in a quantitative discipline requiredTechnical Skills:Strong programming capability in Python (R or Scala advantageous)Deep knowledge of supervised and unsupervised learning, statistical modelling, and deep learningExperience with modern ML frame
https://www.executiveplacements.com/Jobs/H/Head-of-Data-Science-1269097-Job-Search-03-06-2026-00-00-00-AM.asp?sid=gumtree
1d
Executive Placements
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Minimum RequirementsBSc or BEng in Mechanical or Electromechanical Engineering (Non-negotiable)2 to 5+ years experience in:o Warehouse automationo Logistics systemso Materials handling solutionso Industrial engineering solutions saleso Re Engineering and Consulting EngineeringProven track record of selling engineered solutions (not just products)- idealExperience of engaging with senior-level decision-makers (GMs, MDs, Plant Managers)Own reliable vehicle & valid drivers licenseStrategic Business DevelopmentIdentify high-value opportunities within warehouse and logistics sectors.Engage at executive level to understand operational pain points and strategic objectives.Develop tailored automation and materials handling solutions.Technical Solution DevelopmentConduct site assessments and workflow analysis.Conceptualise system designs and engineered solutions.Develop and present:o PowerPoint presentationso 3D modelling drawingsSimulation models or video demonstrationsWork closely with engineering and operations teams to validate feasibility and costing.Executive-Level PresentationsPresent complex technical solutions confidently to senior stakeholders.Demonstrate ROI, efficiency gains, and operational impact.Lead solution discussions, handle objections, and close high-value deals.Commercial ManagementPrepare detailed proposals and cost models.Negotiate commercial terms.Maintain strong sales pipeline and forecast accuracy.Technical CompetenciesStrong understanding of:o Warehouse layout optimizationo Conveyor systemso Automated storage and retrieval systems (ASRS)o Lift and materials handling equipmento Industrial battery solutionsAbility to interpret technical drawings and create solution conceptsFinancial acumen ROI modelling and cost-benefit analysisStrong PowerPoint and presentation capabilityBehavioral ProfileStrong, assertive and confident communicatorExecutive presence and professional maturityStrategic thinker with commercial insightHunter mindset with solution-driven focusHigh resilience and negotiation capabilityAbility to influence senior decision-makers
https://www.executiveplacements.com/Jobs/S/Strategic-Solutions-Engineer--Warehouse--Logis-1267555-Job-Search-03-02-2026-10-13-59-AM.asp?sid=gumtree
7d
Executive Placements
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PBT Group is seeking an experienced Senior Data Engineer to strengthen its data platform and analytics capabilities. This role is suited to a hands-on, technically strong engineer with deep experience in data warehousing, SQL-based transformations, and modern cloud data stacks. The successful candidate will play a key role in designing, building, and optimising scalable data pipelines and warehouse solutions that support enterprise analytics, reporting, and business decision-making. Key ResponsibilitiesDesign, develop, and maintain enterprise-grade data warehouse solutionsBuild and optimise data transformation pipelines using DBTDevelop complex, high-performance SQL queries and modelsWork extensively with Snowflake and legacy platforms such as Sybase IQDevelop and maintain data pipelines using PythonImplement data engineering best practices including version control, testing, and documentationCollaborate with analytics, BI, and business teams to support reporting and insightsContribute to CI/CD processes using Azure DevOps / GitEnsure data quality, performance, and reliability across the data platform Minimum RequirementsExperience7+ years’ experience in Data Engineering or related rolesStrong background in Data Warehousing and dimensional modellingProven experience working in enterprise-scale data environments Technical SkillsStrong hands-on experience with:SQL (advanced query development and optimisation)DBT (models, testing, documentation, and deployment)Snowflake (data modelling, performance tuning)Sybase IQ (or similar large-scale analytical databases)Python (ETL, data processing, automation)Azure DevOps / Git (source control, CI/CD pipelines) Preferred ExperienceCloud-based data platforms (Azure preferred)Experience supporting BI and analytics teamsExposure to modern data engineering patterns and architecturesFinancial services or insurance industry experience Key CompetenciesStrong problem-solving and analytical skillsAbility to work hands-on and independentlyExcellent collaboration with cross-functional teamsAttention to detail and data qualityDelivery-focused with a continuous improvement
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1266085-Job-Search-02-25-2026-07-00-16-AM.asp?sid=gumtree
13d
Executive Placements
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We are looking for SAP SAC Consultant (SAC Planning & SAC Analytics and Reporting): A SAP SAC planning consultant will join a team of finance, data and SAP specialists in Finance Regulatory Reporting domain. The projects aim is to automate the end-to-end process of reporting for a sub-set of regulatory returns. The process includes automation of data take on-on, transformation through application of relevant business rules through to report generation and submission. The automation process will mainly utilise SAP suite of applications.Duration - (required Start date): ASAP (Please note that security checks may impact the start dates)Duration - End date: December 2025Work Location: Alice Lane, Sandton (Hybrid)Technical Skills:Proficiency in SAP Analytics Cloud (SAC) Planning and Analytics modules.Hands-on experience with SAC data modeling, scripting (Advanced Formula), and planning functions.Expertise in connecting SAC with various data sources, including SAP BW, HANA, and third-party systems.Knowledge of predictive features in SAC and experience with Smart Predict.Understanding of SAC security concepts, including roles, teams, and data access control.BW4 Hana modeling an advantageFunctional Skills:Strong understanding of financial planning, budgeting, and forecasting processes.Ability to analyze business requirements and translate them into technical solutions.Expertise in delivering user-friendly and visually appealing dashboards.Soft Skills:Excellent communication and interpersonal skills to interact with stakeholders at all levels.Strong problem-solving and analytical thinking abilities.Self-motivated, with a proactive approach to learning and staying updated on SAC advancements.Ability to work in a dynamic, fast-paced environment, managing multiple priorities effectively.Detailed Deliverables / Outputs expected of the successful candidateSAC Planning:Design and implement SAC Planning models to address business needs in budgeting, forecasting, and financial planning.Develop complex calculations, data transformations, and input forms to enable effective planning processes.Configure data integration with SAP and non-SAP systems to populate planning models.Set up workflows, data locking, and version management to streamline planning cycles.Knowledge in writing R - ScriptsProvide support for what-if scenarios, variance analysis, and predictive planning functionalities.SAC Analytics & Reporting:Design and deliver SAC stories and dashboards for adva
https://www.executiveplacements.com/Jobs/S/SAP-SAC-Consultant-SAC-Planning--SAC-Analytics-an-1205034-Job-Search-7-22-2025-4-23-41-AM.asp?sid=gumtree
8mo
Executive Placements
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In this role, youll design and deploy machine learning, statistical, and AI-driven solutions, working across the full data lifecycle from data exploration and modelling to deployment and insight delivery. Youll play a key role in shaping innovative analytics initiatives, contributing to new projects, and building future-focused capabilities using modern platforms such as AWS and SAS Viya. This role suits someone who blends strong technical capability with commercial awareness and a passion for real-world problem-solving.Key Responsibilities: Own end-to-end data workflows: extraction, cleansing, preparation, analysis, and modellingDesign and deliver impactful dashboards and visualisations to communicate insightsBuild, test, and deploy statistical and machine learning models using SAS, Python, and SQLDevelop innovative AI-driven solutions for complex business challengesTranslate ambiguous business problems into clear, structured analytical approachesWork within AWS and SAS Viya environments for scalable development and deploymentPartner closely with business stakeholders to understand needs before designing solutionsPresent insights, recommendations, and model outputs in a clear, business-focused mannerJob Experience and Skills Required:Education:Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplineStrong theoretical foundation in statistical modellingExperience:Strong experience in data preparation, wrangling, and exploratory data analysisHands-on experience using SAS, Python, and SQL in production environmentsProven experience building machine learning and/or statistical modelsExposure to cloud platforms, preferably AWSExperience with data visualisation tools (e.g. SAS Visual Analytics or similar platforms)Skills & Attributes:Strong analytical and structured problem-solving abilityAbility to work autonomously and take full ownership of solutionsExcellent communication skills with the ability to tell clear, compelling data storiesNaturally curious, experimental, and eager to learnStrong collaboration skills across technical and non-technical teamsComfortable in fast-paced, dynamic environmentsMotivated by complex challenges and meaningful impactFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1264206-Job-Search-02-19-2026-10-14-48-AM.asp?sid=gumtree
1d
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This is a hands-on, operational finance role where you will work closely with the CEO and Global CFO, leading the finance function and ensuring strong financial control, reporting, and insight as the business scales. Key Responsibilities:Lead the finance team and oversee all accounting and reporting activitiesManage month-end, year-end, management reporting, and audit processesPrepare management accounts, budgets, cash flow forecasts, and variance analysisOversee inter-company transactions and support group consolidationsDrive financial modelling and scenario planning to support growthEnsure accurate cost accounting and margin analysis within the manufacturing environmentImprove systems, data quality, and financial controls across finance and inventory platformsBuild strong relationships with banks, auditors, and external stakeholdersRequirements:Degree in Accounting, Finance, or a related fieldProfessional qualification, such as CA(SA) or CIMA preferredMinimum 5 years experience in a senior finance or financial management role, ideally within manufacturing or a product-based businessStrong systems capability (experience with Xero advantageous)Experience with inter-company accounting and group structuresStrong analytical and financial modelling skillsConfident working with senior stakeholders and external partners
https://www.executiveplacements.com/Jobs/F/Financial-Manager-1269835-Job-Search-03-09-2026-00-00-00-AM.asp?sid=gumtree
12h
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Key ResponsibilitiesDevelop and enhance SAP ABAP programs, reports, interfaces, and UI components.Work with modern integration technologies including ODATA, Webservices, and flat files.Collaborate with HR and IT stakeholders to transform business requirements into smart technical solutions.Support Agile development processes with JIRA, xRay, and Confluence.Ensure robust testing and documentation of your developments.Essential SkillsStrong SAP ABAP experience, particularly in HR/Payroll environments.Understanding of integration tools (HTTP, ODATA, Webservices).Comfortable working in Agile teams with modern collaboration tools.Analytical mindset with a knack for problem-solving and performance tuning.Excellent communication with both technical and non-technical stakeholders.Bonus SkillsSAP HCM (H4S4) data model knowledge.Experience with HANA databases and UI5/Fiori.Familiarity with Java, C++, Smart Forms, Adobe Forms, and IDocs.QualificationsDegree in Computer Science, IT, Human Resources, or related fields.SAP ABAP / HANA certifications are a strong advantage.Whats in it for You?Be part of a globally renowned organisation with a modern HR IT landscape.Flex your hours 1960 hours annually for high work-life balance.Dynamic international team and state-of-the-art offices.Opportunity to access exciting group promotions.Exposure to the latest tools and methodologies, including the Agile Working Model.
https://www.executiveplacements.com/Jobs/S/SAP-ABAP-Developer-Advanced-0587-1200310-Job-Search-07-04-2025-04-16-36-AM.asp?sid=gumtree
8mo
Executive Placements
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