Engineering, or Statistics; a master's in Informatics is a plus. Proficiency in BI technologies (e.g., Microsoft and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases
Engineering, or Statistics; a master's in Informatics is a plus. Proficiency in BI technologies (e.g., Microsoft and data warehouse design (e.g., dimensional modelling) and data mining. Solid experience in databases
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
qualification Strong on Reporting and Financial Modelling Forecasting Hands-on person MS Excel advanced qualification Strong on Reporting and Financial Modelling Forecasting and Budgeting Hands-on person MS Excel
Action all claims and proof of deliveries 5 years plus exp in debtors Strong MS Excel ( advanced MS Excel: ups, ESSENTIAL for this role) R18 000 negotiable, plus 50% medical aid and pension.
analytics. Management/Review of work of medium sized teams, comprising of 3 members at minimum. Commercial
projects
Take a leadership role in small to medium-sized projects, optimizing revenue-generating work and
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
business ready to action success Strong base salary plus commission/incentive opportunities and company benefits and personal and professional growth Hybrid work model Required core competencies: 8 years of experience