supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule analytical activities (automation) (Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning and pre-processing model performance approaches in the context of the training approaches taken (Classification Models, Confusion IT infrastructure and data principles. Project management experience Experience with data visualisation
expertise ability to leverage on local presence with regional and international expertise has a vacant position Lambda DynamoDB Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Technical data
Assurance principles and standards in order to manage the Product risk and inter-dependencies during Diplomas/National 1st Degrees Agile certification and training in DevOps would be advantageous. ISTQB foundation Automation testing using Selenium Use of repository systems ie: Azure Repos Testing of Services using automation
mentoring on business intelligence technology and systems in general, especially in the area of ETL processes advantageous Relevant data warehouse and BI solution training is preferred. A sound knowledge of Ab Initio Must have Lead Experience Intimate knowledge of source systems as well as a basic understanding of dimensional
and compliance Data/Systems integration Ability to create microsites Ability to Train and Demo internally
contribute to enhancing business processes, models, and systems, driving continuous improvement and delivering Degree/Diploma or equivalent experience. Bootcamp training in Agile and DevOps preferred. ISTQB Foundation
diverse range of products and financial/payment systems are looking for a skilled and hardworking Hardware/Software and Golang, ensuring efficient utilization of system resources and adherence to industry standards. implement firmware for embedded systems, including real-time operating systems (RTOS), leveraging knowledge to integrate software components into embedded systems, ensuring seamless interoperability and optimal architecture (SOA) solutions for distributed embedded systems, facilitating modularity, scalability, and interoperability
in improved results Data Visualization Change management mind-set, has to be able to adjust to different and verbal communications. Strong relationship management, negotiating & influencing Ability to identify model performance approaches in the context of the training approaches taken (Classification Models, Confusion etc) performance approaches in the context of the training approaches taken (Classification Models, Confusion processes an advantage 3 years' operating at a manager level. Audit, especially big four audit firm experience
consistency, and integrity of master data across various systems and platforms as well as functions/divisions relationships degree in computer science, Information Systems, Data Management, Business Administration, or a related years' experience working with systems, with specific experience in systems data quality control and maintenance Advanced Level Experience with ERP or operational systems Experience in work with cleaning and validating
committed to providing banking insurance and asset management services have an open role for a Data Engineer application platforms Analyse data elements and systems Build required infrastructure for optimal extraction transformation and loading of data Build, create, manage and optimise data pipelines Create data tooling of integration patterns, styles, protocols and systems Liaise and collaborate with technology colleagues