Business Analyst- Risk Model Validation

Department Icon BFSI (Credit & Risk)
Posted: 1 year ago
4-8 years
Mumbai, Maharashtra
BFSI (Credit & Risk)
Work from Office
Full Time

Posted: 1 year ago
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Job Description

About Us:

Solytics Partners provides Consulting and Solutions to Banking, Capital Markets, Asset Management, and Insurance firms. We leverage combination of deep domain knowledge, advanced analytics and technology to provide accelerated and efficient services and next generation solutions. Our team of senior consultants comes with significant global experience in key markets and advanced degrees in STEM. Our regulatory compliant solutions and services enable leading financial institutions and corporations to create and sustain competitive advantage.

Role Description:

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.

:

  • As a Business Analyst, the role involves closely engaging with stakeholders to gather and document business requirements, and subsequently designing streamlined, cost-effective future-state processes that eliminate redundancies and enhance operational efficiency.
  • A key responsibility is collaborating with vendors to translate these requirements into practical and compliant functional solutions that align with organizational goals.
  • The position also entails managing end-to-end user acceptance testing by creating detailed test plans, validating system functionality, and ensuring high-quality releases that meet operational and control standards.
  • Beyond implementation, the role extends into production and BAU support, where continuous functional oversight is provided.
  • This includes analyzing issues, managing enhancements, coordinating UAT and deployment activities, and producing regular reports to drive improvements and maintain system stability.
  • The role involves establishing and maintaining a centralized inventory of all models used across the bank, capturing key details such as their objectives, data sources, dependencies, and associated stakeholders.
  • A critical responsibility is the design and implementation of standardized model validation workflows, which include robust testing protocols and multi-level approval mechanisms to ensure alignment with risk governance standards.
  • Another key aspect is enabling real-time monitoring of model performance. This includes identifying anomalies, managing issue resolution processes, and ensuring accurate reporting to stakeholders.
  • The role also oversees the development and management of a centralized repository, housing essential documentation, validation reports, and historical data snapshots to support transparency and audit-readiness.
  • Strong emphasis is placed on enforcing version control for all models, with comprehensive change logs and audit trails to maintain traceability and ensure compliance with regulatory and governance requirements.
  • The position supports seamless collaboration across data science, engineering, risk, and business teams through a unified platform, fostering efficient communication throughout the model lifecycle.
  • Additionally, it requires maintaining transparency and ensuring that all model-related activities comply with internal policies and external regulatory standards.

Key Requirements:

  • 4 to 8 years of experience, ideally with exposure to:
  • Model Governance / Validation workflows
  • Credit/Market Risk Models
  • Workflow-driven applications and Data Lake systems
  • Banking applications with regulatory and risk focus
  • 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 concepts

Skills

Credit Risk

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