Job Description: Data and Messaging provide WPB Value Streams and Markets with common data, analytics and multi-channel messaging platform, supported by easily configured, out of the box data services and messaging experiences to enable smarter, data driven business outcomes and a more personal and engaged customer experience. [the_ad id="29344"] Job Responsibilities: Represent project meetings for data and MI and effectively manage stakeholder expectations and delivery. Lead the development of the data ecosystem for Fraud in I Hub data refinery by leveraging existing WPB data and complimenting with additional sources of data. Support Global / Regional Heads of Fraud by enabling insight through adequate data and related global MI and dashboards to support Fraud operations. Lead the global delivery of data and MI capabilities to enable adequate management and optimization of Fraud Operations, Analytics and Models / strategies across Application and Transactions Fraud decision systems. Provide road map of migration strategy and execute delivery of on premise based data and MI capabilities to GCP (I Hub). Communicate a clear vision that is aligned to the overall HSBC vision, values and goals, and inspires and engages people to create an inclusive, high performing, customer-centered culture. Job Requirements: Proven experience in delivering data programs on cloud / on premise environments Bachelor’s degree in any of the discipline like Mathematics, Statistics, Economics, Finance, Computer Science or equivalent experience. Experience in toolset such as SAS, Big Data, Hadoop, Ingestion capabilities. To design and develop cloud based solutions for data programs with a working knowledge of ETL transformations. Experience in designing and deploying large scale distributed data processing systems with one or more technologies such as Big Query, Cloud SQL, GCS, Hadoop, Spark, Mongo DB, Qilksense. Ability to identify IT department priorities and ensure resulting objectives are met in accordance with established timelines or deadlines. Proven data modelling skills across relational (OLTP, OLAP) and non-relational (NO SQL) databases. Experience in developing data transformation in Python, Big Query SQL, Pyspark. Job Details: Company: HSBC Vacancy Type: Full Time Job Location: Birmingham, England, UK Application Deadline: N/A [the_ad id='29345'] Apply Here Vacanciesspot.com
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