Model Risk Validation Manager
2 weeks ago
- Global MNC
- Rewarding Benefits
About Our Client
A Leading Global Bank.
Job Description
- Subject-matter-expert concerning all aspects of climate risk modelling (both physical risk and transition risk) and the use of climate risk models for credit risk and financial stress testing.
- Perform an independent validation of the climate risk models used in risk management, capital calculation, stress testing, etc.
- Qualitative review of model development process including underlying assumptions and theoretical basis.
- Quantitative assessment of model performance via data evaluation and statistical testing.
- Documentation of validation findings and communication of results to senior management and presentation to relevant committees.
- Maintenance of Climate Risk model family standards (with focus on model validation process and criteria) to ensure that the validation standards remain appropriate and in line with industry practices.
- Coordination with internal stakeholders on model issues, achieving suitable resolutions.
- Manage and complete the model validation from end to end, meeting the planned timelines and required standards.
- Review regulatory requirements and industry practice regarding the models.
- Assist Head of Model Validation in addressing concerns or questions relating to the climate risk models.
Governance
- Submission of model validation reports to relevant Model Assessment Committee.
- Attend Model Assessment Committee where the report is being presented for approval.
The Successful Applicant
Skills and Experience
- Expertise in analytics, developing or validating statistical models within banking industry.
- Good understanding and experience in modelling, and/or stress testing analysis.
- Proficient in statistical and data analysis using data management and statistical software which includes SAS, R, Excel etc.
- Strong communication and project management skills.
- Strong focus on quality control and attention to detail.
- Knowledge of banking data and IT infrastructure, including data management and data quality control.
Qualifications
- At least graduate level qualifications in actuarial science, statistics, banking, finance, econometrics, mathematics or related quantitative field.
- Experience in developing or validating quantitative models in areas related to climate risk.
- Solid understanding of application of climate risk models, climate science and the key issues that surrounds climate risk areas.
- Subject-matter-expert concerning climate risk modelling and the use of climate risk models for credit risk and financial stress testing.
- Strong programming skills (Python, R, SAS, SQL, VBA, etc.).
- Postgraduate degree (or equivalent) in maths, statistics, finance, quantitative analysis or related quantitative field.
What's on Offer
A comprehensive Total Rewards Program including performance-based bonuses, flexible benefits, and competitive compensation. Leaders who support your development through coaching and managing opportunities. A world-class training program in financial services. A collaborative dynamic culture where personal initiative and hard work are recognized and rewarded.
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