Job Description

Responsibilities:

• Contribute to the development and validation of credit risk models for provisioning and capital modeling purposes
• Collaborate with cross-functional teams to analyze and interpret credit risk data, identifying areas for improvement and recommending strategies to mitigate risk
• Utilize your expertise in software coding to read, interpret, and create code related to credit risk modeling
• Keep up-to-date with industry best practices, regulatory requirements, and emerging trends in credit risk modeling and analysis
• Provide strategic guidance and recommendations to clients on credit risk management, based on your in-depth understanding of credit risk models and their applications
• Collaborate with clients to develop and implement effective credit risk management strategies, ensuring compliance with regulatory guidelines

Education:

• A degree (Honours or Masters) in a quantitative field such as Quantitative Finance, Mathematics, Statistics, or a related discipline

Job Experience and Skills Required:

• Minimum of 3 years of experience in credit risk or a related field
• Strong knowledge and hands-on experience in the development and validation of credit risk models
• Proficiency in reading, interpreting, and creating software code, specifically in the field of credit risk modeling (e.g., SAS, Python, or R)
• Excellent analytical skills and the ability to translate complex data into actionable insights and recommendations
• Strong problem-solving abilities and the capability to work effectively in a team-oriented environment
• Excellent communication skills, both written and verbal, with the ability to present complex concepts to stakeholders at various levels
• A proactive mindset, demonstrating the ability to take ownership of tasks and work independently to meet project deadlines
• Familiarity with regulatory frameworks and guidelines related to credit risk management is preferred

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