Bütün vakansiyalar
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Şirkətlər üçün
Vakansiya haqqında
- Model Assessment: Conduct comprehensive evaluations of the models used within the organization, including financial, statistical, and risk models, to identify any weaknesses or limitations.
- Risk Identification: Identify and evaluate potential risks associated with the models, such as data quality issues, model assumptions, limitations, and potential model biases.
- Compliance Verification: Ensure that the models comply with relevant regulations, internal policies, and industry best practices.
- Documentation: Maintain accurate and detailed documentation of model audits, assessments, and findings.
- Testing and Validation: Develop and execute testing procedures to validate the accuracy, reliability, and robustness of the models.
- Review Model Development Process: Assess the model development process to ensure appropriate governance, controls, and documentation are in place.
- Independent Reviews: Conduct independent reviews of model methodologies, assumptions, and results to identify potential areas of improvement.
- Risk Mitigation: Collaborate with stakeholders to develop strategies and recommendations for mitigating identified model risks.
- Reporting: Prepare clear and concise reports summarizing audit findings, including risk assessments, recommendations, and remediation plans.
- Stakeholder Engagement: Collaborate with model owners, developers, and business stakeholders to communicate audit results, provide guidance, and address any concerns.
- Industry Awareness: Stay up-to-date with industry trends, regulatory requirements, and emerging best practices related to model risk management.
- Financial Controls Review: Review and assess the effectiveness of financial controls and processes within the organization to ensure compliance with regulatory requirements and industry standards.
- Internal Audit Support: Collaborate with the internal audit team to provide expertise and guidance on risk management and contribute to the overall internal audit plan.
- Regulatory Compliance: Stay abreast of regulatory requirements related to financial and risk management, providing guidance to ensure compliance and advising on potential impacts to the organization.
- A bachelor's degree in finance, accounting, economics, statistics, mathematics.
- Excellent understanding of quantitative finance and model development.
- Strong financial mathematics skills and fluency in statistics, calculus and numerical methods.
- Significant understanding models design, development, calibration, stress testing and validation.
- Should have experience in development, validation or auditing of quantitative models.
- Proficiency in MS EXCEL, SQL and Python with experience in data analysis and modeling using libraries such as pandas, numpy, and scikit-learn.
- Experience with data visualization tools, such as Tableau, is desirable.
- A strong understanding of credit risk management practices and regulatory requirements.
- Deep understanding of risk and how controls can mitigate those risks while showing business acumen and commercial awareness.
- Ability to challenge and be challenged while maintaining the highest level of professionalism and ethics
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