Senior Machine Learning Engineer

Job Summary

• Responsible for building, training, validating and deploying predictive & prescriptive models leveraging machine learning & deep learning algorithms for better targeting and decision making.
• This role shall ensure that all models to be deployed, be it in the Bank or with its third -party affiliates and/or partners, are aligned with the Bank’s vision and strategies.
  
  

• 1. Supports Modeling initiatives, ensuring effective delivery of Machine Learning models using global Data Science best practices, technology, tools and methodologies.
• The Data Scientist’s work scope and capabilities shall cover the following:
• - Develop, train, test and deploy predictive & prescriptive models leveraging machine learning and deep learning algorithms.
• - Standardize model development and deployment workflow lifecycle to provide robust and credible models.
• - Operationalize, monitor and manage Machine Learning models in production.
• - Act as a Subject Matter Expert to provide guidance in modeling initiatives across the Data Science & Analytics Group.
• - Identify opportunities across the bank and its third-party affiliates where models can be applied to improve customer experience, increase revenue and improve process efficiency.
• - Proactively source and transform data to improve model accuracy.
• - Maintain and update, as necessary, the Model Ops Playbook which documents processes, standards established in Model Operations, deployment & monitoring.
• 2. Provides transparency in the modeling process and algorithm to ensure that the models are aligned with the Bank’s vision, strategy and policy guidelines.
• 3. Collaborates modeling initiatives with partners.
• 4. Ensures deployment of the optimal model, which has gone through rigorous validation against comprehensive algorithms.
• 5. Provides modeling guidance and training to peers within the Data Science & Analytics group.
• 6. Validates models built within and outside the organization.
  
  

• Degree in Mathematics, Statistics, Computer Science, Engineering, Physics or related field.
• 4+ years of total experience in Data Science, Software Engineering, or DevOps.
• 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.
• Demonstrates professional integrity; with a high sense of urgency, highly analytical.
• Proficiency in machine learning and deep learning algorithms, R, Python, Spark, SQL and visualization tools
• Knowledge in Databricks or other cloud computing tools