Strategic Credit Risk Modelling Business Leader
1 week ago
**Job Summary:**
We are seeking a seasoned Strategic Credit Risk Modelling Business Leader with 10+ years of experience in financial services and credit risk modelling to join our team at Network Contracting on a 6-month contract basis.
This role requires a strategic thinker who can analyze complex business processes, define problem statements, and deliver practical solutions to meet business objectives. As a key member of our team, you will be responsible for unpacking existing credit risk models, analyzing data sources, and ensuring effective model performance and compliance with regulatory standards.
Key Responsibilities:
- Data Management: Identify, source, and analyze relevant data required for model deployment, ensuring the integrity and accuracy of data utilized in credit risk assessments.
- Documentation: Create comprehensive documentation of current models and data flow, including methodologies, assumptions, and parameterizations.
- Stakeholder Collaboration: Work closely with quantitative analysts and data scientists to enhance model functionality based on insights gathered from data analysis and feedback from stakeholders.
- Project Management: Plan and oversee project timelines and deliverables related to model unpacking and data analysis initiatives.
- Model Deployment Analysis: Review and unpack existing, deployed credit risk models to assess their effectiveness of the deployment and identify areas for improvement.
- Regulatory Awareness: Stay informed on relevant credit risk regulations and industry best practices, ensuring models are in compliance with evolving standards.
Requirements:
Qualification:
- Bachelor's degree in Finance, Statistics, Mathematics, Economics, or a related field; Master's degree preferred.
Experience:
- 5+ years of experience in credit risk modelling, data analysis, or business analysis, with a focus on model unpacking and data sourcing.
- Strong understanding of credit risk models and frameworks (e.g., PD, LGD, EAD calculations) and experience with model deployment processes.
- Proficient in data analysis tools and programming languages (e.g., Python, R, SAS, SQL) with a strong aptitude for working with large datasets.
- Excellent communication skills with the ability to present complex information clearly to non-technical stakeholders.
Estimated Salary: $120,000 - $150,000 per year, depending on experience.
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