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The candidate should have 12-15 years of relevant experience in managing risk data and systems infrastructure. This includes understanding data requirements for managing various risk types, golden sources of data, organising and aggregating data to provide comprehensive risk views, risk reporting taxonomies, testing routines, and data quality. He/she is expected to:
Lead the team managing the credit risk datamart as well as the SAS Analytics platform
Develop and implement the enhancement of the relevant datamarts and platforms to meet changing requirements of credit risk analytics teams and other relevant stakeholders
Lead initiatives to improve data ingestion, aggregation and retrieval processes, including use of emerging technologies such as Big Data and AI
Represent RPM in various cross-divisional initiatives that require extensive credit risk data requirements.
Review data quality results and drive closure of gaps
Adept in dealing with multiple stakeholders (IT, operations, business units, risk and finance analysts) in a fast-paced environment
Ability to deal with ambiguity in a logical manner, prioritizing needs, and delivering results in a dynamic environment
Aptitude with details but not forgetting the macro view
Good analytical, written and oral communication skills
Good knowledge of banking products and their risks
Experience in managing large projects and working with large databases and has a good understanding of analytical tools (e.g., Phyton/SAS/QlikView)
Strong ability to communicate embed information, business process and system wide changes to a technical and nontechnical audience