
Banking + 2 more
Description
Required Skills and Qualifications
Education: A degree in technology, Data Science, Statistics, Finance, Economics, or a related field.
• Technical Skills: Proficiency in statistical software (e.g., SAS, R, Python), data visualization tools (e.g., Tableau, Power BI), and risk management software.
• Certifications: Professional certifications such as FRM (Financial Risk Manager), PRM (Professional Risk Manager), CISA, CAMS or ACFE are highly desirable.
Efficiency:
1. Advanced Data Analytics:
o Develop and implement advanced data analytics frameworks and methodologies for all principal risks.
o Develop designs for models, smart rules and analytics for Fraud Risks across the group and all operating subsidiaries.
o Support designing new use cases, rules adjustments and new integrations to the analytics risk management tools
o Analyze large and complex datasets to identify risk exposures and trends.
o Utilize machine learning and statistical techniques to develop predictive models to support both non-financial
o Provide actionable insights and recommendations to senior management based on data analysis.
2. Risk Management:
o Collaborate with risk management teams to integrate data analytics into risk assessment processes.
o Conduct regular reviews and stress testing of risk management models to ensure their accuracy and reliability.
o Develop and maintain risk dashboards, heat maps and reporting tools.
3. Regulatory Compliance:
o Ensure compliance with regulatory requirements and internal policies related to data analytics and risk management.
o Stay updated on regulatory changes and industry best practices.
4. Planning:
o Input to the development of the organization’s risk management strategy.
o Provide insights and recommendations to support decision-making processes.
o Collaborate with other departments to integrate risk management practices into their operations.
5. Reporting and Communication:
o Prepare and present risk analysis reports for senior management.
o Communicate complex risk concepts in a clear and concise manner to stakeholders.
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