Assurance principles and standards in order to manage the Product risk and inter-dependencies during across the Product delivery stack. Ensure team effectiveness and healthy team dynamics. Requirements: Advanced
engineering. Excellent communication skills to effectively convey complex analytical findings to non-technical
engineering. Excellent communication skills to effectively convey complex analytical findings to non-technical
troubleshoot complex issues in production environments Effective communication and collaboration skills, with the
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 processes an advantage 3 years' operating at a manager level. Audit, especially big four audit firm experience
committed to providing banking insurance and asset management services have an open role for a Data Engineer transformation and loading of data Build, create, manage and optimise data pipelines Create data tooling
supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist IT infrastructure and data principles. Project management experience Experience with data visualisation
you will be instrumental in planning, designing, managing, and implementing technical solutions using the
one of the leading financial Adviser revenue managements. You need to have solid experience in software
JavaScript/Typescript framework is a bonus) Familiarity with managing cloud infrastructure - AWS, GCP, Azure Proficient