Urgent Opening For Risk Assessment @ CareerNet

Desired Candidate Profile

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.

Education:

UG:   B.Tech/B.E. - Any Specialization

PG:  Any Postgraduate - Any Specialization

Doctorate:  Ph.D - Advertising/Mass Communication

Contact Details:

Company:   Careernet Technologies Pvt Ltd

Email:  

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Keyskills:   data mining big data data governance data quality cloud computing process re - engineering stress testing dq sas Regulatory Risk Assessment