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Results for modeling jobs in "modeling jobs" in South Africa in South Africa
10
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Oticon life-changing technology year model 2022 in excellent condition basically brand new.
2d
Edgemead1
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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-1254859-Job-Search-01-22-2026-10-13-57-AM.asp?sid=gumtree
3d
Job Placements
1
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Are you a detail-oriented audit professional with a passion for quantitative models and a solid understanding of risk in the banking sector? This role offers a unique opportunity to work within a high-performing audit team, reviewing critical models used for regulatory and business decision-making. Youll gain exposure across African markets, contribute to model governance improvement, and help shape the institutions approach to managing model risk effectively.Duties: Conduct independent audits on internal models, covering development, validation, implementation, and ongoing monitoring.Assess governance and control processes around model lifecycle management.Evaluate regulatory compliance of credit and market risk models submitted to supervisory authorities.Perform in-depth reviews of application scorecards, probability of default (PD) models, stress testing frameworks, and capital adequacy models (ICAAP).Provide assurance on model risk related to regulatory change initiatives (e.g., FRTB-SA, BA-CVA).Engage with business and risk stakeholders across African subsidiaries to ensure strong control environments. Job Experience & Skills Required: Qualifications: Matric (Grade 12)Bachelors degree in Quantitative Finance, Risk Management, Actuarial Science, or related field. Postgraduate qualification or certifications (e.g. FRM, CFA, CIA) are a plus.Experience: 3 - 5 years experience in internal audit, model risk, or validation in financial services.Strong understanding of credit and market risk modelling, regulatory expectations, and model governance frameworks.Experience working across diverse jurisdictions and exposure to retail and wholesale banking models.Strong analytical thinking, attention to detail, and excellent communication skills. Skills & Competencies: Contribute to the oversight of cutting-edge risk models in a top-tier banking environment.Engage with model developers, validators, and regulators on complex, high-impact topics.Build your expertise in quantitative risk, model governance, and regulatory audits.Be part of a collaborative, growing audit team that values learning, rigour, and strategic thinking. If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
https://www.executiveplacements.com/Jobs/I/Internal-Auditor-Model-Risk-1195147-Job-Search-06-17-2025-10-22-23-AM.asp?sid=gumtree
7mo
Executive Placements
1
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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-1254141-Job-Search-01-21-2026-04-13-49-AM.asp?sid=gumtree
4d
Job Placements
1
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Job Description:Produce detailed structural drawings and 3D models using Revit and AutoCADPrepare reinforcing layouts and rebar schedules using AutoCAD RebarCollaborate with engineers to interpret design requirements and deliver accurate technical outputsUpdate and maintain Revit models throughout the project lifecycleEnsure drawings comply with relevant standards and project specificationsSkills & Experience:Strong proficiency in Revit (families, creating templates) and AutoCADExperience detailing reinforced concrete, structural steel, masonry, and timber structuresBIM workflowsConstruction documentation standardsHigh attention to detail with the ability to manage multiple tasks and deadlinesStrong communication skills and ability to work independentlyMinimum 47 years experienceQualification:Grade 12 with certification in Revit and AutoCAD (essential)Diploma or AdvDip or Btech in Civil Engineer or a related field (advantageous) Only South African Residents or individuals with a relevant South African work permit will be considered. Contact NHLAKANIPHO MKHWANAZI on
https://www.executiveplacements.com/Jobs/S/Structural-Detailer-and-Modeller-1254660-Job-Search-01-22-2026-04-14-14-AM.asp?sid=gumtree
3d
Executive Placements
1
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Support the development, review, and validation of credit risk models used for regulatory capital and provisioning purposesWork on quantitative models including IFRS 9 models, scorecards, and capital models across various portfoliosPerform data analysis, statistical testing, and model performance assessments to support model development and review outcomesAssist in the coding, automation, and enhancement of credit risk and capital modelsApply contemporary statistical and modelling techniques to solve complex credit risk problemsPrepare technical documentation, model reports, and analytical notes for internal review and external stakeholdersTranslate complex quantitative concepts into clear, understandable insights for both technical and non-technical audiencesCollaborate with senior team members to deliver high-quality outputs within agreed timelinesContribute to client-facing engagements, including responding to information requests and participating in discussionsStay up to date with regulatory developments, industry trends, and emerging best practices in credit risk and capital managementSupport knowledge sharing and contribute to team learning and development initiativesManage multiple tasks simultaneously while maintaining a high level of accuracy, resilience, and attention to detailSkills & Experience:Honours or Masters degree in a quantitative discipline (e.g. Quantitative Finance, Mathematics, Statistics, Engineering, or similar)Professional certification such as FRM or PRM (completed or in progress) is advantageousExperienceMinimum 4+ years experience in a quantitative risk, credit risk, or capital modelling roleHands-on experience with credit risk models (e.g. IFRS 9, scorecards, capital models)Exposure to regulatory and provisioning frameworks within a banking or professional services environmentExperience using analytical or programming tools such as Python, R, or SASBackground in delivering client-driven or stakeholder-focused work under regulatory or operational deadlines Apply now!
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Senior-Consultant-1254849-Job-Search-01-22-2026-10-13-48-AM.asp?sid=gumtree
3d
Executive Placements
1
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Role Responsibilities / Main Activities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutionsPerform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsDevelop or know about implementing statistical models, machine learning algorithms, and predictive analytics techniques to extract insights surrounding the business requirementsConduct hypothesis testing and statistical inference to validate findings and assess model accuracyDefine the model in the context of the solution and create functional specificationsCreate the Entity-Relationship Diagrams to visually represent entities, attributes, and relationships in the systemCollaborate with a cross-functional team of business analysts, UI analysts, and domain experts to define and document requirementsQualifications to do the job:Domain-relevant certificationsDegree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldExperience to do the job:Experience in problem-solving and root cause analysisExposure to the utility industry is advantageous but not requiredProven record of experience with data manipulation, data visualisation, and statistical analysis libraries (e.g., Pandas). Proven application of machine learning frameworks and statistical modelling techniques. At least 3 years of experience as a senior System analystAt least 2 years of experience leading a team
https://www.executiveplacements.com/Jobs/L/Lead-Senior-System-Analyst-1254229-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
4d
Executive Placements
1
What Youll Be DoingQuantitative Modelling & AnalysisSupport the development and enhancement of quantitative models used for market and liquidity risk measurement, including Value at Risk (VaR), stress testing, scenario analysis, and FTP models.Analyse financial data to identify trends, risks, and insights, with a focus on interest rate risk, funding costs, and equity price risk.Contribute to quantitative analysis that supports strategic and risk-related decision-making.Model Validation & Back-TestingParticipate in model validation activities to ensure models are robust, reliable, and aligned with regulatory and internal standards.Perform back-testing and performance assessments of models, including FTP models, and assist with recalibration where required.Funds Transfer Pricing (FTP)Support the calculation and implementation of FTP rates to ensure accurate reflection of funding costs and risk across business units.Analyse the impact of FTP methodologies on profitability and performance, providing insights to enhance decision-making.Share Price ForecastingPerform monthly share price forecasting to support strategic balance sheet modelling.Assist with coordination activities related to share price forecasting governance forums, where required.Data, Reporting & CommunicationCollect, clean, and analyse financial data from multiple sources to support modelling and reporting activities.Prepare clear, well-structured reports and presentations for risk committees and senior stakeholders.Communicate complex quantitative concepts in a clear and accessible way to both technical and non-technical audiences.Governance, Collaboration & DevelopmentSupport risk committee processes, including preparation of ad-hoc analysis and reports.Work closely with cross-functional teams across Risk, Finance, Treasury, and Business Units to support effective model implementation and risk management practices.Contribute to continuous improvement of internal processes, methodologies, and documentation.Stay informed on industry trends, regulatory developments, and best practices in quantitative risk and modelling.Actively engage in ongoing learning and professional development.What Were Looking ForQualificationsBachelors degree in Actuarial Science, Mathematics, Statistics, Finance, Econometrics, Quantitative Risk, or a related field.Experience & Knowledge46 years experience in Asset and Liability Management (ALM), Financial Risk Management, Treasury, or a related quantitative risk role.Experience with quantitative modelling and/or model validation within a financial services environment.Good understanding of financial market
https://www.executiveplacements.com/Jobs/A/Analyst-Quantitative-Risk-Modelling--Validation-1255079-Job-Search-01-23-2026-04-10-24-AM.asp?sid=gumtree
2d
Executive Placements
1
Experience in managing and implementing innovative Fintech products within the Telco/ Financial or Banking industries. Experience with Agile delivery and development operations frameworks. Experience with Scrum and Agile Software Development Methodology. Knowledge must include Fintech Products and Ecosystem, Global money transfer process, Agile methodologies, Definition and use case modelling, user story definition and refinement, Agile software development processes and methods, business modelling as well as analytics/ AB/ multivariate testing and related tools. Gauteng based. SA citizens only.
https://www.executiveplacements.com/Jobs/M/Manager-Remittance--Interoperability-1254294-Job-Search-1-21-2026-9-59-07-AM.asp?sid=gumtree
4d
Executive Placements
1
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Machine Learning EngineerBuild and deploy scalable machine learning solutions in a cloud-native environmentJohannesburg (Hybrid) | R60 000 R70 000 per monthAbout Our ClientOur client is a data-focused organisation developing advanced machine learning solutions at scale using Microsoft Azure. They work on complex, real-world problems where models must be production-ready, reliable, and aligned with business needs. The team combines strong engineering standards with applied data science, offering an environment where Machine Learning Engineers can have real ownership and impact.The Role: Machine Learning EngineerAs a Machine Learning Engineer, you will design, build, and deploy machine learning models and pipelines into production. You will work closely with Data Scientists and MLOps Support Engineers to ensure models are scalable, maintainable, and well-documented.Key ResponsibilitiesDesign and implement end-to-end machine learning pipelinesTranslate models from research and notebooks into production-ready codeCollaborate with Data Scientists to productionise modelsWork closely with MLOps Support Engineers to support deployment and monitoringBuild and maintain scalable data and ML pipelinesEnsure models meet performance, reliability, and business requirementsProvide clear documentation and handover for deployed solutionsAbout You3+ years of experience in machine learning engineering or data engineeringStrong Python skills, especially in ML frameworks and pipeline developmentExperience deploying ML models into production environmentsProficiency in cloud platforms, preferably Microsoft AzureSolid understanding of data pipelines, version control, and testing practicesCollaborative mindset with the ability to work across teamsStrong problem-solving and documentation skills
https://www.executiveplacements.com/Jobs/M/Machine-Learning-Engineer-1254808-Job-Search-1-22-2026-8-24-40-AM.asp?sid=gumtree
3d
Executive Placements
1
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Job & Role Description:Im looking to connect with Data Scientists who have proven experience applying machine learning, AI, and statistical modelling within banking or financial services environments. By partnering with me, youll be considered for multiple high-impact upcoming projects.Key Responsibilities:Analyse large-scale financial datasets to uncover trends, risks, and opportunities.Design, develop, and deploy AI and machine learning models for financial use cases.Build predictive models for credit risk, fraud detection, customer segmentation, and forecasting.Apply statistical modelling and time-series analysis to financial data.Work with structured and semi-structured data across multiple financial systems.Deploy models into production and monitor performance and model drift.Job Experience and Skills Required:Education:Degree in Mathematics, Statistics, IT, Data Science, Computer Science, or related quantitative fields.AWS Certified Data Analytics or Microsoft Certified: Azure AI Engineer Associate or Databricks Data Scientist Professional Certifications are advantageous. Experience:3+ years experience as a Data Scientist, preferably within Finance or Banking.Strong experience with Python (Pandas, NumPy, Scikit-learn).Hands-on experience with Machine Learning and AI techniques.Exposure to Deep Learning, NLP, or Generative AI / LLMs (advantageous).Strong SQL skills and experience working with large financial datasets.Experience with cloud platforms (AWS, Azure, or GCP).Experience deploying models via APIs or into production environments.Understanding of MLOps, model governance, and regulatory considerations.Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1254651-Job-Search-01-22-2026-04-14-00-AM.asp?sid=gumtree
3d
Job Placements
1
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Key Job ResponsibilitiesTactical ImplementationAlign all operational activities undertaken in the department to the BRIGHT strategy objectivesDrive best practice, iterative improvement and innovationProvide recommendations to various business units and influences future plans based on insightsData ModellingResearch and develop custom data models and algorithms to apply to data setsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemLead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic modelBuild predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycleEffectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions Data AnalysisUtilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern.Code, test and maintain analytical software toolsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changePerform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms.Analyse data from company databases to drive optimisation and improvement Education / Business DegreeHonours degree in relevant fieldMinimum of 3-year tertiary degree in (STEM); Engineering, Computer Science, Mathematics, Statistics, Biological Sciences or related quantitative fieldWork ExperienceMinimum of 5 years experience in a data science environment, with experience in model development, interpretation and deployment.Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detectionManagement experience beneficial.Experience working in a medium to large organisationWorked across diverse cultures and geographies advantages
https://www.executiveplacements.com/Jobs/S/Senior-Specialist-Data-Scientist-1255180-Job-Search-01-23-2026-04-28-34-AM.asp?sid=gumtree
2d
Executive Placements
1
REQUIRED QUALIFICATIONS AND EXPERIENCE:Qualifications:Chartered Accountant (CA) (SA)/ MBA or equivalent financial qualification is highly advantageous.Relevant certifications in financial modelling, restructuring, or project management.Advanced degree in finance, business administration, or a related field is beneficial.Experience:A minimum of 5 years experience in business restructuring, business rescue, financial advisory, or related roles in developmental finance institutions (DFIs), financial institutions, professional services firms, or banks.Exceptional financial analysis and financial modelling skills.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Turnaround-and-Workout-Specialist-1205533-Job-Search-07-23-2025-04-07-00-AM.asp?sid=gumtree
6mo
Executive Placements
1
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Key ResponsibilitiesSupport pricing, reserving, and capital modelling within the Nonâ??Life actuarial functionConsult and collaborate with key internal and external stakeholdersContribute to model development, reporting, and actuarial analysisProvide insights that support strategic and operational decisionâ??makingJob Experience and Skills RequiredMinimum BSc Actuarial Science or similar qualification3+ years Nonâ??Life (shortâ??term) actuarial experienceSteady progress with actuarial examsStrong analytical and problemâ??solving capabilityProficiency in Excel, actuarial/statistical software, or programming toolsAbility to operate in a fastâ??paced, forwardâ??thinking environmentApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/S/Senior-Actuarial-Analyst-1254938-Job-Search-01-22-2026-22-14-19-PM.asp?sid=gumtree
2d
Executive Placements
1
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Responsible to drive compliance with IFRS 17 in the 1Life Corporate Actuarialteam. Provide actuarial technical support and develop models to calculate IFRS17 results. In addition provide actuarial technical support and coach/mentorjunior analysts within the 1Life Actuarial team. Usestatistical models to analyze data and calculate the probability of pricing/products. EDUCATION Bachelors / Honours degree in Actuarial Science or similar (Essential);Passed all CT exams and CA1 (Essential)JOB DESCRIPTION | ACTUARIAL MANAGER (1LIFE) July 25, 2024EXPERIENCE 5 or more years experience within the long term insurance industry (Essential);Prophet experience (Essential);Experience in IFRS 17 model building (Essential)Managerial Experience2 or more years experience of supervising and directing people and otherresources to achieve specific end results within limited timeframes (Essential)
https://www.executiveplacements.com/Jobs/A/Actuarial-Manager--Gauteng-1195589-Job-Search-6-19-2025-3-11-22-AM.asp?sid=gumtree
7mo
Executive Placements
1
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We are seeking a Data Scientist passionate about turning complex commercial challenges into actionable, high-impact solutions?Were looking for someone to take the lead on our pricing and markdown optimisation models, refactoring and redesigning them to improve performance, scalability, and business value. Youll work closely with data engineering and commercial teams to enhance demand forecasting, price elasticity, and markdown algorithmsbuilding a smarter, more sustainable pricing capability that drives real financial impact.If you thrive at the intersection of data science, optimisation, and business strategy, this role is for you.Role ObjectivesTake ownership of existing markdown and pricing optimisation modelsRefactor, optimise, and where necessary redesign models for long-term internal ownershipImprove performance, scalability, and interpretability of pricing algorithmsStrengthen the link between data science, data engineering, and commercial outcomesBuild a more robust, simplified, and sustainable markdown optimisation capabilityKey ResponsibilitiesPricing & Markdown OptimisationMaintain, analyse, and improve existing markdown and price optimisation modelsEnhance demand forecasting, elasticity modelling, and markdown effectiveness algorithmsTranslate complex commercial problems into robust data science solutionsContinuously test, validate, and improve model performance and financial impactModel Refactoring & ImprovementUnderstand and reverse-engineer existing modelsRefactor codebases to improve structure, performance, maintainability, and explainabilityRedesign models where needed to improve accuracy, scalability, or business usabilityIntroduce better modelling approaches, feature engineering, and optimisation techniquesData Engineering CollaborationWork closely with data engineers to optimise pipelines feeding pricing modelsImprove data quality, feature availability, model inputs, and processing efficiencySupport productionisation, monitoring, and automation of modelsBusiness & Stakeholder EngagementPartner with pricing, planning, and commercial teams to understand real-world challengesTranslate model outputs into actionable commercial insightsSupport adoption of models through documentation, knowledge transfer, and enablementCore Skills & ExperienceEssentialStrong experience as a Data Sc
https://www.executiveplacements.com/Jobs/D/Data-Scientist-1252714-Job-Search-1-16-2026-10-30-31-AM.asp?sid=gumtree
9d
Executive Placements
1
Solidedge OR Solidworks3D Modeling experienceMin 3 to 5 years draughting experienceOwn Transport & Drivers license
https://www.jobplacements.com/Jobs/D/Draughtsman-Tracer-Solidedge-or-Solidworks-2026-1234133-Job-Search-01-21-2026-00-00-00-AM.asp?sid=gumtree
4d
Job Placements
1
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Job & Company Description:Im looking to connect with AI / ML Engineers who have hands-on experience developing, deploying, and maintaining machine learning models in production environments. By partnering with me, youll be considered for multiple upcoming roles.Key Responsibilities:Design, build, and deploy machine learning and AI models.Develop and optimise models using supervised and unsupervised learning techniques.Work with large datasets to train, test, and validate models.Deploy models via APIs and support integration into applications.Implement and support MLOps pipelines for model versioning and monitoring.Maintain technical documentation and best practices.Job Experience and Skills Required:Education:Degree in Mathematics or Applied Mathematics, Statistics, or related fields.Experience:2+ years experience as an AI / ML Engineer or similar role.Strong experience with Python for machine learning and data processing.Hands-on experience with Machine Learning and Deep Learning techniques.Experience with PyTorch (or similar frameworks).Exposure to LLMs / Generative AI and NLP use cases.Experience deploying models via APIs.Exposure to AWS and/or Azure cloud platforms.Understanding of MLOps principles and workflows.Experience with Docker and containerised deployments.Apply now!
https://www.executiveplacements.com/Jobs/A/AI-ML-Engineer-1252297-Job-Search-01-15-2026-22-12-37-PM.asp?sid=gumtree
9d
Executive Placements
1
Assumption & Model ReviewsPrepare and execute assumption and model review workplans.Review key actuarial assumptions (including lapses, mortality, expenses) used in long contract boundary models.Pressureâ??test contract boundary assumptions across IFRS 17 and SAM environments.Modelling & ValidationPerform independent validation of Prophet models (gross and financial reinsurance) for IFRS 17 and SAM.Review model outputs including ORSA projections.Validate IBNR triangulations and related methodologies.Results & ReportingConduct high-level review of IFRS 17 and SAM annual results.Document and communicate all validation findings to Balance Sheet Management and relevant stakeholders.Governance & OversightCollaborate with the outsourced Head of Actuarial Function, providing confidence around validation activities and their outputs.Strengthen governance across assumption setting and model development frameworks. Skills & Experience10 years postâ??qualification actuarial experience, with at least 5 years in senior validation, modelling, or assumption governance.Strong technical expertise in:Prophet model developmentIFRS 17 and SAM valuation principlesFinancial reinsurance mechanicsAbility to lead complex actuarial validation activities independently.Strong communication and stakeholderâ??engagement skills. QualificationsFellow of the Actuarial Society of South Africa (FASSA) Life Fellowship preferred.Life Practising Certificate (advantageous). For more information contactRecruitment ConsultantKayla Reddy
https://www.executiveplacements.com/Jobs/H/Head-Actuarial-Assumption--Model-Development-Vali-1252536-Job-Search-01-16-2026-04-12-45-AM.asp?sid=gumtree
9d
Executive Placements
1
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Ready to dive deep into financial markets and uncover investment opportunities? Were looking for a detail-oriented Equity Analyst to join a high-performing team. Job profile:Take full ownership of researching listed companies, including deep fundamental analysis, financial modelling, and sector comparisons.Actively participate in investment discussions, contributing insights and challenging views with data-driven arguments.Present well-supported investment recommendations to the broader team, with clear rationale and risk considerations.Monitor and track the performance of portfolio holdings, staying abreast of key developments and providing timely updates or re-evaluations when necessary. Qualifications & Experience: CA(SA)5 years experience as an equity analyst within asset managementExperience in building models for forecasting purposes that test and support investment decisions
https://www.executiveplacements.com/Jobs/E/Equity-Analyst-1205561-Job-Search-07-23-2025-04-13-20-AM.asp?sid=gumtree
6mo
Executive Placements
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