Posted:1 week ago|
Platform:
On-site
Full Time
The role of a Functional Business Analyst in the Model Validation Unit is to translate complex business concepts into system and process requirements that align with regulatory standards and organizational priorities. This includes ensuring smooth implementation of IT-enabled solutions, providing post-go-live and BAU support, and helping create a robust governance framework for the end-to-end lifecycle of models used in the bank.
Build and maintain a comprehensive inventory of all models used within the bank, detailing their objectives, data sources, and stakeholders.
Develop and manage standardized workflows for model validation, incorporating rigorous testing and multi-stage approvals.
Enable real-time monitoring of model performance, flagging anomalies and tracking resolution progress with proper reporting.
Set up a central repository to store model-related documentation, historical data snapshots, and validation reports.
Ensure proper versioning of models with detailed logs to support traceability, audits, and governance.
Provide a unified platform for seamless collaboration between data scientists, engineers, and business teams during the model lifecycle.
Maintain audit trails and ensure all model-related activities comply with internal and external regulatory requirements.
Capture business requirements accurately, design TO-BE processes, and eliminate redundancies to ensure cost-effective and efficient solutions.
Collaborate with vendors to define and finalize functional solutions that align with business needs and regulatory expectations.
Manage UAT processes, prepare comprehensive test plans, and ensure bug-free, high-quality releases with appropriate system and operational controls.
Provide ongoing functional support, analyze production issues, manage enhancements, bug fixes, UAT, deployment, and reporting.
• 4 to 8 years of experience, ideally with exposure to:
• Strong analytical, documentation, and communication abilities
• Understanding of banking domains: Credit Risk, Market Risk, Rating Models
• Experience with platforms like IBM Cloud Pak for Data, Solytics Nimbus (preferred)
• Familiarity with tools like Autosys, TNG
• Vendor coordination and delivery management
• Knowledge of SDLC, STLC, project management, and performance testing concept
If Interested, Please share your resume at aayush.kumar@solytics-partners.com
Solytics Partners
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