Related skills
sql python data quality regulatory knowledge data platformsπ Description
- Develop and maintain a model risk management framework meeting regulatory needs.
- Guide Finance, Operations, Analytics and Sales on model development and data quality.
- Review model validations for accuracy, performance, and predictive power.
- Monitor model performance over time and recommend updates.
- Provide reporting and intelligence to Risk Committees and Executives.
- Ensure documentation for all model development and validation activities.
π― Requirements
- Analytical skills to understand complex models and risk.
- Experience in risk management across operational, financial, and market risks.
- Proficiency in Python and SQL for modeling and data analysis.
- Strong communication to explain risk to stakeholders and executives.
- Familiarity with regulatory requirements in risk management.
- Experience with modern data platforms and data teams.
π Benefits
- Competitive starting salary with annual discretionary bonus.
- Dedicated mentorship from experienced managers.
- Cutting-edge technology and tailor-made tools.
- Clear, accelerated career progression.
- Dynamic and supportive culture with teamwork and growth.
- Generous benefits package including health care and social benefits.
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