Posted:1 week ago|
Platform:
On-site
Contractual
Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.
The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.
They provide a variety of services, including consulting, technology, professional, and outsourcing services.
location : Bengaluru
Mode Of Work : Hybrid
Notice Period : Immediate Joiners
Experience : 4-6 yrs
Type Of Hire : Contract to Hire
Analyzing, documenting, and optimizing business processes, identifying areas of improvement, and ensuring that the project is executed efficiently
Credit Risk MI workstream and should have Data Analysis BI tooling experience (Tableau, Qlik, etc.) SQL and Python skills for data extraction Experience in credit risk MI implementation in a banking domain (retail credit) Able to work with Credit Risk stakeholders Role Responsibilities: AIRB Portfolio Management Credit Risk MI workstream Document current state for credit risk MI (measures, dimensions, star schemas, data schemas) Understand technical architecture for future state build Ensure sourcing of golden source data using appropriate data warehouses Collaborate with UK-based workstream lead and BI lead
• Liaising with SMEs, facilitating workshops to understand/prioritise requirements
• Identify root causes of business problems & Create business cases
• Assist Testing team for ready to release solutions and its implementation
• Supporting the deployment of changes by coordinating business readiness activities
• continuous improvement activities, defining best practices and sharing knowledge
• Previous experience of working in a Regulatory Reporting Change Environment
• Produce business requirements/user stories
• Strong knowledge of banking product and regulatory landscape, specifically knowledge of COREP, FINREP and liquidity is important
• You must be able to demonstrate solid understanding and experience of data analysis.
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