About or client:
Our client is one the leading retail banks in the world. They have operations in more than 45 countries and a consolidated revenue running into trillions of dollars. Their brands operates around the globe to provide banking services for individuals, businesses and institutions. As a part of their constant innovations and strategic initiatives, they require seasoned and bright professionals to join their Business analytics division.
Job Description:
- The individual will lead a team with technical and business-facing responsibilities and will work closely with Risk Underwriting, Risk Customer Management, Modeling, Compliance, and Credit Bureau business teams, globally to accomplish the team's mission.
Responsibilities:
Managing a team of 40 FTE's, your responsibility will be to :-
- Maintain and deliver the best-in-class Business Intelligence and Analytics solutions for Basel, Credit Bureau and Economic capital
- Maintain and deliver early warning alerts for out-of-pattern events/conditions, Risk and Compliance policy exceptions and inaccurate decisions.
- Design and deploy robust data model architecture to support optimal data processing and standardized metric definitions.
- Ongoing focus on data/process integrity and reengineering to drive relevant business transformation while effectively managing costs.
Successful Candidate:
At least 9 years of relevant experience in the following areas:
- Risk models, fraud, new accounts, customer management, and deep knowledge of data quality and business intelligence solutions is a plus.
- Understanding of SDLC, particularly in Agile project methodologies with complementary experience in business architecture and technical design.
- Experience with data architecture and design approach for effective Business Intelligence delivery.
- Solid project management skills, and ability to translate business needs into technical/capability specifications.
- Experience in working with SQL, SSIS, SSAS, SAS, and distributed architecture; experience of solutions development at Big Data platform is a plus
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