Industry - Banking / Financial Services / Broking
Category - Finance
Job Description :
- The job is to build, implement and enhance models for better decision making
- Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
- Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
- Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
- Ensuring all deliveries conform to the Model Risk Governance Framework and regulatory requirements and producing robust, clear documentation
- Lead, engage, and inspire a large team of high performing risk management professionals
- A Masters degree - Engineering/ MBA/ Stats/ Economics/ Analytics
- Six or more years of experience in credit or fraud risk management practices in a Financial Services company
- Excellent analytical skills helping to develop and implement predictive machine learning models on large data sets in Hadoop environments using tools such as Hive, Python, and SQL
- Deep knowledge of commercial business and risk capabilities
- Strong analytical skills and an innovative approach to solving both practical and theoretical business problems
- Intellectual curiosity, adaptability in a dynamic environment, and an ability to re-engineer long-standing processes and infrastructure
- Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
- Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
- To be part of an organisation that values and rewards for idea and creativity
- To be a part of a diverse community
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