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