Job Description:We are seeking a detail-oriented Senior Credit Risk Modelling Business Analyst with a background in financial services and financial services products on a 6 months contract basis.
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.
Key Responsibilities: Data Management: Identify, source, and analyze relevant data required for model deploymentEnsure the integrity and accuracy of data utilized in credit risk assessmentsDocumentation: Create comprehensive documentation of current models and data flow, including methodologies, assumptions, and parameterizationsStakeholder Collaboration: Work closely with quantitative analysts and data scientists to enhance model functionality based on insights gathered from data analysis and feedback from stakeholdersProject 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 improvementRegulatory Awareness: Stay informed on relevant credit risk regulations and industry best practices, ensuring models are in compliance with evolving standardsAs you will be required to hit the ground running extensive experience is essential. The requirements: Qualification: Bachelors degree in Finance, Statistics, Mathematics, Economics, or a related field; Masters degree preferred Experience: 5+ years of experience in credit risk modelling, data analysis, or business analysis, with a focus on model unpacking and data sourcingStrong understanding of credit risk models and frameworks (e.g., PD, LGD, EAD calculations) and experience with model deployment processesProficient 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 Skills Required:Proven leadership skills with experience in mentoring and guiding teamsStrong analytical and leadership skillsSolid understanding of credit risk frameworksExcellent personal skills with exceptional written and verbal communication skill If you are interested in this opportunity, please apply directly.
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