What youll do.

- Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, account management to ensure their accuracy, reliability, and compliance.

- Utilize Google Cloud Platform (GCP) to enhance efficiency by automating workflows and improving process integration.

- Execute AI validation projects, contributing to their conceptualization, planning, and successful implementation in alignment with organizational goals.

- Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment.

- Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards.

- Stay current with industry best practices and regulatory guidelines related to model risk management.

What Experience You Need.

- 3- 5 years of experience in developing and/or validating models, with a good understanding of industry-specific requirements and challenges.

- Demonstrated expertise in AI techniques (Machine learning, natural language processing, deep learning) and their applications.

- Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent is recommended.

- Advanced level programming in Python and SQL.

- Strong interpersonal skills with the ability to build effective relationships and collaborate effectively with partners.

- Experience collaborating with partners, stakeholders, and teams across multiple geographies and levels of the organization.

- In-depth knowledge and practical experience in credit risk and fraud models.

- Masters degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or other relevant discipline, demonstrating a high level of expertise and commitment to the field.

What could set you apart.

- Familiarity with regulatory requirements and guidelines related to Model Risk Management.

- Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9.

- First-hand experience on cloud-based platforms including GCP & AWS.

- Excellent communication and presentation skills.