Model Validation Analyst
First seen by Alion on Sep 1, 2026.
Key Responsibilities :
Retail Credit Risk Model Management and Validation :
- Lead the validation of complex underwriting, collection, and ECL models independently.
- Perform comprehensive model performance analysis and drive the investigation of model and portfolio variances.
- Ensure that all model validation procedures meet the organizations risk assessment standards.
Advanced Data Analysis and Reporting :
- Oversee the preparation and consolidation of key risk analysis reports and presentations for senior management committees.
- Automate and streamline reporting processes to generate actionable insights and drive value across stakeholders.
- Ensure the accuracy and relevance of all reports and dashboards, contributing to improved decision-making.
Strategic Risk Insights and Advisory :
- Lead the deep-dive investigations into unusual model behaviours and portfolio performance discrepancies, advising the business on necessary actions.
- Use advanced analytics to ensure the effective execution of risk analysis and provide strategic insights to the business.
Stakeholder Engagement and Technical Leadership :
- Act as a technical lead in collaborating with senior stakeholders to ensure model validation and risk management procedures align with business objectives.
- Provide expert guidance to junior team members, ensuring the team adheres to best practices in model validation and risk analytics.
Leadership in Team Development and Culture Building :
- Champion the development of a purpose-driven, high-performance culture within the team.
- Lead the training and mentoring of junior associates, supporting their professional growth and technical expertise.
- Contribute to strategic decision-making, ensuring alignment between credit risk models and business growth.
Eligibility Criteria :
Education :
- Masters Degree in Statistics, Economics, Mathematics, Engineering; MBA
Experience :
- 6 to 9 Years of relevant experience
Skills & Competencies :
- Strong expertise in coding with Python, SQL, and optionally SAS.
- Advanced knowledge of MS-Office Suite, with expert skills in data analysis and visualization tools.
- In-depth experience in analysing and validating credit risk scorecards and bureau data.
- Strong capability in investigating and analysing significant variances in MI and model performance.
- Expertise in advanced machine learning models like Gradient Boosting, Neural Networks, Random Forest, etc. is highly preferred.
- Strong understanding of Data Warehouse, Cloud Data platforms, and their integration with model validation.
- Strong leadership and project management skills, with the ability to influence and guide team members and business stakeholders
Skills
Model Validation, Python, SQL, SAS, Data Analytics, Data Visualization, Neural Networks, Data Warehousing