Credit Risk Modeling
Category: Data & AI - Services
Experience:4-10 years
Location:Pan-India
Your team
You are sought for an integral role in a prestigious IT services, consulting, and business solutions organization with a 50-year history of global partnerships. As India's largest multinational business group, operating in 46+ countries, they boast over 500,000 highly trained consultants. Pioneering financial markets infrastructure and data business, they seek your expertise to enhance our dedication to excellence in Data & Analytics, Capital Markets, and Post Trade services through open-access partnerships to shape the future of global service delivery.
Your job
- You will be responsible for Model Development
- Design and implement statistical models for forecasting, risk assessment, and performance evaluation
- Collaborate with cross-functional teams to identify modeling needs and objectives
- Model Validation
- Conduct thorough validation of existing models to ensure accuracy, reliability, and compliance with regulatory standards
- Perform backtesting and stress testing to assess model robustness
- Documentation
- Maintain comprehensive documentation of model development and validation processes, including methodologies and assumptions
- Prepare detailed reports and presentations for stakeholders, summarizing findings and recommendations
- Continuous Improvement
- Monitor model performance and make necessary adjustments based on emerging trends and new data
- Stay informed about industry best practices and regulatory requirements related to model risk management
Capabilities
- You should have proven experience in model development and validation, preferably within [industry, e.g., finance, healthcare, etc.]
- Strong programming skills in languages such as Python, R, or SAS
- Familiarity with machine learning techniques and statistical analysis tools
- Excellent analytical, problem-solving, and communication skills
- Ability to work collaboratively in a team-oriented environment
Qualifications
Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field; Master’s or Ph.D