Technical Business Analyst
2 weeks ago
Title: Tech BSA (Credit Risk)
Location: Toronto, Ontario – Day 1 Onsite
Few Mandatory Skills
- Credit Risk Experience is mandatory
- Star Schema basics
- OLAP DB understanding
- Concepts of data model
- SQL skills and ability to write/understand complex SQL
- ability to perform complex data exploration/profiling tasks
- experience of working with different database systems
- experience with data integration related projects.. cite examples and explain
- ability to communicate with business analysts and business partners to understand business requirements ; their experience and best practices
- understanding of data modelling principle
- Financial industry experience and concepts of finance
Primary Skills -
- Knowledge specially in Risk or finance technology area
- Strong SQL knowledge, involving complex joins and analytical functions
- Good understanding of Data Flow, Data Model and database applications
- Working knowledge of Databases like Oracle and Netezza
Secondary Skills
- Conceptual knowledge of ETL and data warehousing, working knowledge is added advantage
- Basic knowledge of Java is added advantage
JD -
- Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching.
Responsibility -
- Perform thorough analysis and articulation of risk or Finance Tech model data requirements.
- Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools
- Provide analysis of internal and external regulations (credit risk) and
- preparation of functional documentation on external regulations (credit risk)
- Need to work with large amounts of data: facts, figures, and number crunching.
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