Solution Architect Enterprise Risk
Location
Bangalore | India
Job description
- Solution Architect Enterprise Risk with 10 years of overall experience including Banking domain.
- Indepth Knowledge of Enterprise Risk Applications.
- Experienced Solution design for IFRS9 Moody s RCO LEBRF AScore BScore Moody s CreditLens ESG.
- Drive detailed design using Functional requirements and Ability to convert Business requirements into solution with given application constraints.
- Conduct Design review and Provide design decision for Enterprise Risk applications requirement
- Have experience of building at least one project from scratch with enterprise risk System with focus on Knowledge of backend input tables used by risk applications and understanding of expected data attributes in these tables.
- Data mapping with various upstream systems like core bank trade finance and others
- Experience with rolling out at least one big project (multiple phased release or country rollouts) to production.
- Ability to explain the design to build teams for the required solution.
- Data Analytics i.e Ability to do Data Gap analysis and suggest work arounds.
- Excellent communication and analytical skills
- Basic knowledge of SQL
- Basic Knowledge of AWS cloud concept is an advantage.
- An experienced consulting professional who understands solutions industry best practices multiple business processes or technology designs within GRC family.
1. Solution Architect - Enterprise Risk with 10+ years of overall experience including Banking domain. 2. In-depth Knowledge of Enterprise Risk Applications. 3. Experienced Solution design for IFRS9 Moody s RCO, LE-BRF, A-Score, B-Score, Moody s CreditLens, ESG. 4. Drive detailed design using Functional requirements and Ability to convert Business requirements into solution with given application constraints. 5. Conduct Design review and Provide design decision for Enterprise Risk applications requirement 6. Have experience of building at least one project from scratch with enterprise risk System with focus on Knowledge of backend input tables used by risk applications and understanding of expected data attributes in these tables. 7. Data mapping with various upstream systems like core bank, trade finance and others 8. Experience with rolling out at least one big project (multiple phased release or country rollouts) to production. 9. Ability to explain the design to build teams for the required solution. 10. Data Analytics i.e, Ability to do Data Gap analysis and suggest work arounds. 11. Excellent communication and analytical skills 12. Basic knowledge of SQL 13. Basic Knowledge of AWS cloud concept is an advantage. 14. An experienced consulting professional who understands solutions, industry best practices, multiple business processes or technology designs within GRC family.
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