KPAs: Analytical Modeling: Translate business requirements into suitable analytical models, extracting trends to address short-term insurance metrics. Present model functionality to relevant stakeholders upon request oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence management analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
clients are invested in line with its respective model portfolio taking any client specific requirements monitoring markets and instruments to ensure that all model portfolios are implemented efficiently. Ensure that through completely and ensure execution across our model and clients portfolios. Conduct technical analysis and UNPRI policies. Ensure that all systems and models remain up to date Ensure that approved investment followed through and ensure execution across our model and clients portfolios. Ensure that you use the
clients are invested in line with its respective model portfolio taking any client specific requirements monitoring markets and instruments to ensure that all model portfolios are implemented efficiently. Ensure that through completely and ensure execution across our model and clients portfolios. Conduct technical analysis and UNPRI policies. Ensure that all systems and models remain up to date Ensure that approved investment followed through and ensure execution across our model and clients portfolios. Ensure that you use the
Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
Behaviour-Driven Development (BDD), Page Object Model (POM), Test-Driven Development (TDD), as well as within the context of an agile/DevOps delivery model Interpretation of Testing Results and logging and responsibilities assigned in the Agile Working Model (AWM) Charter Advantageous Skills Requirements: elicitation, documentation Business process modelling, data modelling IT Architecture: Cloud Architecture, On-prem/hybrid
Model Development
Technical
cases. Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. Presentation of data science opportunities and model outcomes to a variety (must). Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP and Skills Strong data exploration, analytical, modeling, and reporting skills Strong communication and
vents
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise