Job Description:



Qualification Needed

- The successful candidate is expected to have a good working knowledge and delivery experience preferably within a Banking MI and Data Risk systems environment

- Demonstrated ability to multi-task and work independently, as well as work collaboratively with other teams, some of which may be geographically distributed

- Proven problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and apply sound business and technical domain knowledge

- Sound knowledge of Relational and Non-Relational Database Platforms required

- Experience in risk and control assessment across main relevant operational risk domains information security and legal (data privacy)

- Experience with residual risks assessment based on a 16-box framework incorporating guidance from experts across multiple domains would be advantageous

- Experience in various aspects of Data Quality Management including a full end to end data quality implementation will be advantageous

- Experience of process re-engineering and process management

- Knowledge of data governance and management principles and processes

- Knowledge of - Big Data- and Cloud Computing concepts

- Knowledge of BCBS239, IFRS-9 Stress Testing or experience of any other Banking regulatory environment is a big plus

- Experience of building & implementing Data Quality solutions like DQ Tool via SAS / Python

- Experience of data mining & reporting in SAS

- Good to have knowledge of migrating SAS codes to Python

- Communicate openly and honestly

Advanced oral, written and visual communication and presentation skills - the ability to communicate efficiently at a global level is paramount

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 21st Mar 2020

Key Skills:

Company Profile:

Not Mentioned

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