Hero FinCorp
Website:
herofincorp.com
Job details:
Key Responsibilities
- Retail Credit Risk Model Management and Validation:
o Lead the validation of complex underwriting, collection, and ECL models independently.
o Perform comprehensive model performance analysis and drive the investigation of model and
portfolio variances.
o Ensure that all model validation procedures meet the organization’s risk assessment standards.
- Advanced Data Analysis and Reporting:
o Oversee the preparation and consolidation of key risk analysis reports and presentations for senior management committees.
o Automate and streamline reporting processes to generate actionable insights and drive value
across stakeholders.
o Ensure the accuracy and relevance of all reports and dashboards, contributing to improved
decision-making.
- Strategic Risk Insights and Advisory:
o Lead the deep-dive investigations into unusual model behaviours and portfolio performance
discrepancies, advising the business on necessary actions.
o Use advanced analytics to ensure the effective execution of risk analysis and provide strategic
insights to the business.
- Stakeholder Engagement and Technical Leadership:
o Act as a technical lead in collaborating with senior stakeholders to ensure model validation and risk management procedures align with business objectives.
o 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:
o Champion the development of a purpose-driven, high-performance culture within the team.
o Lead the training and mentoring of junior associates, supporting their professional growth and
technical expertise.
o Contribute to strategic decision-making, ensuring alignment between credit risk models and
business growth.
Education Master’s 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.
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