Risk Analyst

Hero FinCorp; New Delhi; On-site; INR 3,500,000 - 6,200,000; Full time

Job summary

Hero FinCorp in Delhi seeks a senior leader to manage and validate credit risk models, including underwriting, collection and ECL frameworks. You will independently drive validation, perform deep performance analyses, and ensure procedures meet risk standards.

You will mentor junior team members, partner with senior stakeholders, and translate insights into strategic actions that align risk analytics with business growth and governance requirements.

Qualifications

• 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.

Responsibilities

• Lead the validation of complex underwriting, collection, and ECL models independently.
• Perform comprehensive model performance analysis and drive the investigation of model and variances.
• Ensure that all model validation procedures meet the organization’s risk assessment standards.
• Oversee the preparation and consolidation of key risk analysis reports for senior management committees.
• Automate and streamline reporting processes to generate actionable insights and drive value across stakeholders.
• Lead the deep-dive investigations into unusual model behaviours and portfolio performance discrepancies, advising the business on necessary actions.
• 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.
• 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.

Skills

Python

SQL

SAS

Data visualization

Education

Master’s Degree in Statistics,Economics,Mathematics,Engineering

MBA

Tools

MS-Office Suite

Data Warehousing

Cloud Data Platforms

Job description

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
• Ensure that all model validation procedures meet the organization’s 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.

Education Master’s Degree in Statistics, Economics, Mathematics, Engineering; MBA

Experience 6 to 9 Years of relevant experience

• 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.