Description

  • Lead and develop the Data Science team to advance enterprise analytics capabilities.
  • Drive the use of data to solve complex business problems in banking using statistical, algorithmic, mining, and visualization techniques.
  • Build predictive models and leverage both structured and unstructured data sources.
  • Prioritize and manage analytical projects based on business value and technology readiness.
  • Own the end-to-end model development process: from business requirements, data sourcing, model fitting, result presentation, to production scoring.
  • Conduct large-scale experimentation and research on advanced machine learning, deep learning, and AI techniques.
  • Evangelize best practices and serve as the machine learning subject matter expert across business lines.
  • Provide leadership, coaching, and mentorship to team members, including training junior analysts.
  • Communicate complex analytics results to both technical and non-technical audiences.
  • Collaborate with stakeholders to understand business needs and ensure analytical solutions meet those needs.
  • Stay updated with emerging technologies and assess their impact on the business.
  • Promote a culture of continuous improvement, innovation, and change adaptation within the analytics team.
  • Strong experience with cloud ML platforms (e.g., AWS Sagemaker), machine learning environments (TensorFlow, scikit-learn, caret), and data science tools (Python, R, SAS, SQL/NoSQL).
  • Master’s degree (or PhD) in computer science, statistics, economics or related field, with 5+ years of relevant experience.
  • Financial services background preferred

Key Skills
Education

Master's degree

Back To Jobs