Data, Modeling & Machine Learning Lead
QBE Insurance Group
Manila, PHI
3d ago

Data, Modeling & Machine Learning Lead

  • PHI - Manila
  • Responsible for leading a team of technical professionals doing data management and modelling. Specifically, teams who are performing data management and governance activities, and processes calculations to evaluate, estimate the losses and risks that could be sustained due to a catastrophic event such as a hurricane or earthquake.
  • Individually, the role will create optimised solution / s by applying machine learning algorithms to perception type of problems and / or where tasks are layered in an element of prediction.

    It also covers the development of solutions that can access data and use it to learn for themselves.


  • Lead and serve as the main point of contact for stakeholders mostly from onshore to provide oversight on the delivery of data management activities (may include analytics) and catastrophe modeling functions
  • Manage work priorities and negotiate deadlines with stakeholders
  • Establish and maintain a good working relationship within the team
  • Provide technical coaching for junior staff members
  • Demonstrate subject matter expertise on machine learning and natural language processing models and algorithms
  • Identify, assess and drive the adoption of new NLP techniques and tools across GSCC processes
  • Implement data quality controls and implement strategies on collecting new data and the refinement of existing data sources
  • Analyse trends and insights, interpret results of data experiments, and explore and examine data from multiple sources, which can result in improved business process efficiency, cost savings, or revenue gains
  • Create a rapport with other leads from Operational Excellence, business stakeholders and other functions to understand business and solution needs, and translate into robust, efficient, and scalable technical designs
  • Identify and drive re-usable design patterns that address common needs which are robust, flexible, and extensible
  • Engage and lead solution discussions, including producing and demonstrating high fidelity prototypes of proposed solution components, and demonstrate these to senior stakeholders, to gain feedback for a desired outcome
  • Effectively manage machine learning initiatives for the GSSC following the relevant governance and delivery framework
  • Conduct coaching and mentoring session
  • Perform ongoing reviews to ensure customer needs are met
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