understanding of dimensional models.
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
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems
algorithms and statistical models. Build and operationalize predictive models to discover hidden insights
quantitative model building and data analytics.
business insights. Ad hoc analysis (scenario modelling, impact analysis etc). Develop, test, and implement detail and accuracy. Experience in building report models with visualisation tools (Power-BI advantageous)
business insights.
Responsibilities:
Develop and refine pricing models for insurance and reinsurance products, leveraging
products.
Proficiency in actuarial modeling software (e.g., Prophet, AXIS) and strong knowledge
Data consumers transform data to a common data model for reporting and data analysis, and to provide Bricks) Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientistsm Scrum Masers and Data Warehouse Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB, Data consumers transform data to a common data model for reporting and data analysis, and to provide
consumers