Actively participate in the planning, estimation and sizing of products, features, stories to be delivered
within the context of an agile/DevOps delivery model. Implement robust automated test cases to ensure professional experience. 3 Years plus in a Mid to Senior role, more than 6 year plus total experience required
Certificate or can develop machine learning (ML) models and automate ML pipelines. Minimum Experience : client engagements but may include: • Creating data models that can be used to extract information from various and have a strong understanding of ETL and data modelling. • Ability to ingest data into AWS S3, perform Cloud Platform. • A strong understanding of data modelling, data structures, databases, and ETL processes ideas. • Experience in the financial industry is a plus. • An AWS Certified Machine Learning – Specialty
creating data flow diagrams (DFDs), defining data models, ensuring data lineage, and implementing data governance development with a focus on data lineage, data modeling, and data flow design. Proven experience with in creating data flow diagrams (DFDs) and data models.
the development and implementation of actuarial models, and collaborating with cross-functional teams regulatory requirements. Modelling and Coding: Develop and maintain actuarial models to analyse and forecast skills to enhance efficiency and accuracy in modelling processes. IFRS17 Reporting: Assist in the implementation consistency and accuracy of data used in actuarial models and financial reporting. Identify and resolve discrepancies opportunities for automation in data processing, modelling and reporting. Requirements: Bachelor's degree
the development and implementation of actuarial models, and collaborating with cross-functional teams regulatory requirements. Modelling and Coding: Develop and maintain actuarial models to analyse and forecast skills to enhance efficiency and accuracy in modelling processes. IFRS17 Reporting: Assist in the implementation consistency and accuracy of data used in actuarial models and financial reporting. Identify and resolve discrepancies opportunities for automation in data processing, modelling and reporting. Requirements: Bachelor's degree
seasoned Senior Business Analyst. Hybrid working model followed 2 days at office 3 days remotely per week must be considered.
Reference: JHB006289-MM1-1 NOTE: This is a hybrid work model (2 days in office) One of our clients in the banking account cost, risk, delivery and feasibility Modelling system designs to meet business objectives. These requirements models and analyses is done per internationally accepted best practices (Use Case modelling and UML UML 2.5) Modelling and designing screens for usability, documenting screen flows and designs Where business available positions which you may be suited for. plus Medical Aid, Preferential Banking Rates (Homeloan
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more