Data/Information Management Analyst 2 responsible for monitoring, assessing, analyzing and evaluating processes and data, identifying policy gaps, formulating policies, and making recommendations.
Responsibilities
Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data
Identifies policy gaps and formulates policies
Interprets data and makes recommendations
Researches and interprets factual information
Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices
Requirements
Engineering Degree
Bachelors/University degree or equivalent experience
Intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team, contributing to applications systems analysis and programming activities.
Responsibilities
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Requirements
Bachelor’s degree/University degree or equivalent experience
The Data Engineer is responsible for designing, developing, testing, deploying, and supporting data solutions that enable trusted, timely, and accessible data across the organisation. The role supports Quilter's data strategy by delivering scalable, secure, and resilient data products and services that underpin reporting, analytics, regulatory obligations, operational processes, and digital capabilities.
Locations (2)
Southampton, England, United Kingdom
London, England, United Kingdom
Responsibilities
Design, develop, test, and maintain data pipelines, integrations, and data products across the enterprise data platform.
Build scalable and reusable solutions for data ingestion, transformation, enrichment, and consumption.
Develop and optimise batch, near real-time, and streaming data processing solutions where required.
Ensure solutions are robust, performant, secure, and maintainable.
Contribute to the delivery of analytical, operational, and regulatory data capabilities.
Lead the enterprise data and AI strategy, governance, and platform for Old Mutual’s central ecosystem, driving value across banking, insurance, and rewards businesses.
Responsibilities
Design and run the central data platform on Databricks, including workspaces, catalogues, and cost management
Define the ecosystem data model and data pipelines across multiple business units
Build customer identity resolution and single customer view under privacy constraints
Establish data governance, quality, and compliance frameworks (RDARR, POPIA, BCBS 239)
Lead AI strategy, including generative AI, LLMs, and quantum computing readiness
Requirements
Post‑graduate degree (PhD preferred) in mathematics, statistics, computer science, data science or related quantitative field
Associate Director, Software Engineering SpecialistNewHSBC · Xi'an, China