Risk Data Manager at Absa Group Limited (Absa)

Job Summary

• The Risk Data Manager is accountable for end-to-end risk data management, including developing forward thinking analysis, generating management reports, statutory and regulatory compliance, scaling and automate processes to provide risk data within appropriate time, quality, controls and governance enabling effective risk management reports, forecasts and business 
•  performance analysis for Retail Risk teams.

Job Description

Data Management:

• Delivery of daily, weekly and monthly data on agreed frequency for the Retail Risk teams, which includes the following:
• Acquisition data across Retail productsenabling models, reporting and scorecards
• Portfolio data for Impairment and Capital models and Risk strategy
• Collections data across Retail enabling models, reporting and scorecards
• Control environment on the data delivery across the platforms
• Batch Bureau data delivery to Retail Risk teams. Bureau data being fit for business and delivery on strategic platforms
• Risk Data Architecture and strategy for data platforms
• Manage and deliver Risk data migration and decom projects and manage Risk data impacts and repoints
• Integration of the platforms to meet business requirements
• Enable sustainable decom of legacy infrastructure without business impact

Data Visualization / Reporting:

• Transforming official data reports into easily understandable visuals
• Clean and organize large datasets, for analysis and visualization; verify and ensure accuracy, integrity, and consistency of data
• Ability to develop data dashboards, data quality monitoring, interactive reports, charts, graphs, and other visual representations using MS PowerBI, QlikView and other data visualisation tools
• Continuously identify new creative solutions for analysis, reporting and data measurement.
• Control of Business Intelligence (BI’) information, data analysis and visualization
• Continuous improvement of processes using technology were required. All processes within the organisation are built to be scalable with minimal human intervention

Data Governance:

• Bureau data control environment
• Implement an effective governance framework which supports and strengthens the internal control environment and alignment to AGL data policies
• RDARR compliance on data delivery, Audit, Compliance and conformance team support.

People:

• Leading, developing and managing a team with data expertise
• Liaise and collaborate with technology colleagues and data teams across the organization to understand viable data solutions within architectural guidelines
• Collaborate with Risk teams and Data engineering to identify opportunities for process improvements, recommend system modifications and give input to the development of data governance controls

Preferred Education

• Bachelor’s degree in mathematics, Statistics, Engineering, Management Information Systems, Information Technology, Informatics or related technical field

Technical knowledge and Preferred Experience

• 8+ years of relevant experience in Data management and Business Intelligence is a requirement.
• 4+ years Banking Experience at a management level
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience in data warehousing, data architecture, data governance, data modelling, dashboard preparation, & reporting tools and trend analysis
• Experience in executing data/risk processes supported by strong knowledge in the data infrastructure and platforms
• Experience in ETL and big data concepts
• Experience in leading projects i.e. migrations, decommissioning etc.
• Exposure to reporting and BI technologies, QlikView etc.
• Good understanding of operating systems like UNIX, LINUX and other open-source solutions
• Experience of database platforms (SQL Server, Oracle, Teradata, Hadoop & SAS)
• Exposure to Cloud (Azure, AWS)
• Domain knowledge of data management principles, best practises and fundamentals of Data Integration
• Ability to work with multiple structured and unstructured data sources
• Proficiency in managing data life cycle
• Excellent analytical and problem-solving skills

Education

• Bachelor`s Degrees and Advanced Diplomas: Information Systems, Bachelor`s Degrees and Advanced Diplomas: Mathematics (Required)