Job Summary
- Responsible for developing, validating and deploying machine learning & predictive modeling projects for better targeting and decision making. Oversees projects from initiation to completion and proactively engages with partner units for their modeling requirements. Ensures operationalization of the models developed and supports MLOps activities.
How will you contribute
- Supports Modeling initiatives, ensuring effective delivery of Machine Learning (ML) models using global Data Science best practices, technology, tools and methodologies.
- Provides transparency in the modeling process and algorithm to ensure that the models are aligned with the Bank's vision, strategy and policy guidelines.
- Collaborates modeling initiatives with partners and the steering committee.
- Ensures deployment of the optimal model, which has gone through rigorous validation against comprehensive algorithms.
- Provides modeling guidance and training to peers within the Data Science & Analytics group.
- Validates models built within and outside the organization.
What will make you successful
- Degree in Mathematics, Statistics, Computer Science, Physics or related field.
- Hands on experience in machine learning and deep learning algorithms preferably in banking, finance, insurance or other related field.
- Developed and deployed modeling projects using machine learning and/or deep learning algorithms.
- Proficiency in forecasting, machine learning and deep learning algorithms, R, Python, SQL, visualization tools and Cloud Computing (preferably Azure and Databricks).
