Manager, Credit Risk Analytics
vor 2 Monaten
The Role & Organisation
This is a newly created role in this Tier-1 Financial Institution's Risk Analytics & Insights Business Unit with a focus on the management of data assets. In this role you will oversee data source systems, risks and incidents, capture, record and progress fixes for data issues for timely delivery of data reporting.
The role also has an ongoing focus of providing source to target mapping, working with the developers on the design & build-up of data assets to meet the Group's Risk Reporting & Insights requirements.
Duties & Responsibilities Engage with business clients to understand data requirements & document business objectives, requirements in/out of scope, risks, issues and challenges.Analyse source systems, existing Enterprise, Risk & other data sets to determine most appropriate data sources that'll meet customer requirements.Assess quality of determined data sets to identify gaps, issues and variances & document them as technical findings.Discuss technical findings with clients, help them accept the variances or carry out more detailed analysis as requested by customers until agreed & signed off by them.Assist in defining the data checks and reconciliations required to ensure quality of data solution delivered.Prepare test scripts, perform testing of data assets prior to production roll out to ensure customer requirements have been met.Perform UAT & PIV of clients' data assets for validity & accuracy to ensure output produced is in line with the previous reporting periods.Document and investigate, track data issues identified to closure.Establish controls to ensure data produced is fit for purpose, test and validate the performance of these controls.Support and drive the migration of legacy reporting processes to Tableau.Requirements: Solid understanding of Credit Risk ratios such as PD, LGD, EAD etc. and BASEL compliance requirements.Proficiency in SAS, R, SQL, PL/SQL, Hive & UNIX shell scripting.Proficiency in relational databases such as Teradata, big data platforms, such as Hadoop and visualisation tools such as Tableau.Effective communication skills to present in front of senior stakeholders.Tertiary qualifications well regarded.
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