
Company Overview:
We are a leading global business consulting firm, partnering with Fortune 500 companies and emerging market leaders across diverse industries including financial services, technology, and healthcare. Our firm delivers data-driven insights and strategic solutions to complex business challenges, enabling our clients to achieve sustainable growth and operational excellence. We operate on a global scale, with a presence in major economic hubs worldwide.
Role Overview:
As an IRR (Internal Ratings and Risk) Consultant, you will play a crucial role in developing and validating internal rating models for our financial services clients. You will collaborate with client risk management teams, data scientists, and regulatory compliance specialists to ensure models meet regulatory requirements, particularly those related to Basel guidelines. Your work will directly impact the accuracy and reliability of risk assessments, leading to better capital allocation and improved financial stability for our clients.
Key Responsibilities:
- Develop and validate internal credit risk rating models for various asset classes, ensuring alignment with Basel regulatory requirements.
- Conduct data analysis and statistical modeling to identify key risk drivers and improve the predictive power of rating systems for client institutions.
- Collaborate with client stakeholders to gather data, understand business processes, and implement model enhancements that improve risk management practices.
- Prepare comprehensive documentation of model development, validation, and performance monitoring activities for regulatory review and internal audit purposes.
- Provide expert advice and guidance to clients on best practices in credit risk management, model governance, and regulatory compliance.
- Stay abreast of industry trends, regulatory changes, and emerging risks to proactively identify opportunities for model improvement and innovation.
Required Skillset:
- Demonstrated ability to develop and validate internal credit risk rating models, particularly within the context of Basel regulations.
- Proven expertise in statistical modeling, data analysis, and econometric techniques using tools such as SAS, R, or Python.
- Strong understanding of credit risk management principles, regulatory requirements, and industry best practices.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, client-focused environment.
- A Master's degree in a quantitative field such as Finance, Economics, Statistics, or a related discipline is preferred.
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