Assistant Vice President - Data Science

Key Responsibilities :

- Design, Develop and implement Fraud detection models using statistical, machine learning, and AI techniques.

- Evaluate and select appropriate algorithms and modeling techniques based on the nature of the business problem and available data.

- Perform hyperparameters tunning to optimize model performance.

- Create and select relevant feature extraction that improves accuracy and robustness of fraud detection models.

- Conduct rigorous validation and testing of models to ensure they meet performance criteria and risk management requirements.

- Use cross validation and other techniques to assess model generalization.

- Take end to end ownership of model development lifecycle start with data preparation, model development, model deployment and model documentation for appropriate approvals.

- Mentor junior team members and provide technical guidance.

- Write and maintain comprehensive documentation for models and algorithms.

- Present findings and project progress to stakeholders and management.

- Manage Model governance related responsibilities.

Qualifications :

- Bachelor's or master's degree in Statistics, Economics, computer science or a related field. A Ph.D. is a plus.

- 8+ years of experience in Model development and governance.

- Strong proficiency in Python and AI/ML techniques.

- Proven track record of building and deploying Machine learning models in production environments.

- Solid understanding of machine learning algorithms, data structures, and software engineering principles.

- Excellent problem-solving skills and the ability to work independently and as part of a team.

- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills :

- Model development with explainability.

- Familiarity with Model Risk Management and regulatory approvals.

- Contributions to open-source projects or published research in top-tier conferences/journals.