Position Overview
Our client is looking for a detail-oriented Senior Credit Risk Modelling Business Analyst with a background in financial services and financial services products. This role requires a strategic thinker with 10+ years of experience in analyzing complex business processes, defining problem statements, and delivering practical solutions to meet business objectives. This role focuses on unpacking existing credit risk models and analyzing data sources to ensure effective model performance and compliance with regulatory standards. The ideal candidate will possess strong analytical and leadership skills, along with a solid understanding of credit risk frameworks as well as an end-to-end view of how models work within a deployed and managed farmwork. Excellent personal skills with exceptional written and verbal communication skill are required.
Key Responsibilities:
- Data Management: Identify, source, and analyze relevant data required for model deployment. Ensure the integrity and accuracy of data utilized in credit risk assessments. Map the data flows from source to model and identify gaps and issues.
- Documentation: Create comprehensive documentation of current models and data flow, including methodologies, assumptions, and parameterizations. Ensure all documentation meets regulatory and internal requirements.
- 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.
- Leadership & Team Development: Guide and mentor junior analysts in data analysis techniques and model unpacking methodologies. Foster a culture of continuous improvement and knowledge sharing within the team.
- Project Management: Plan and oversee project timelines and deliverables related to model unpacking and data analysis initiatives. Communicate project updates effectively to stakeholders.
- 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.
Qualifications:
- Bachelor’s degree in Finance, Statistics, Mathematics, Economics, or a related field; Master’s degree preferred.
Skills
- 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.
- Proven leadership skills with experience in mentoring and guiding teams.
Desired Skills:
- Analytical
- Credit Risk
- Data Analysis
- Development
- Python
- R
- Risk Modelling