Head of Data and Analytics

Eames Consulting
London
7 months ago
Applications closed

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Head of Analytics & Data Science

▷ [15h Left] Staff Data Scientist Data and Insights ·London

I'm partnered with a global market leader in re-insurance, global speciality insurance and digital solutions who are looking to add an experienced Head of Data and Analytics to the team.


Key Responsibilities:


  • Develop and implement a comprehensive data and analytics strategy that aligns with the firm's overall business objectives and drives innovation.
  • Build, mentor, and lead a high-performing team of data professionals, fostering a culture of collaboration, continuous learning, and excellence.
  • Oversee the design and implementation of advanced analytics models, including predictive modelling, machine learning, and AI, to deliver actionable insights across the organization.
  • Establish and enforce data governance frameworks to ensure data quality, security, and compliance with industry regulations.
  • Work closely with senior leadership, underwriting, risk management, and other key stakeholders to understand business needs and deliver data-driven solutions that support decision-making.
  • Guide the selection and integration of cutting-edge data technologies and platforms to support the firm's analytics capabilities.
  • Develop and monitor key performance indicators (KPIs) to measure the impact of data initiatives and drive continuous improvement.
  • Leverage data to enhance risk assessment models and support the development of innovative reinsurance products.
  • Utilise data analytics to generate insights that improve client engagement and support the development of tailored reinsurance solutions.


Qualifications:


  • Minimum of 10 years of experience in data and analytics, with at least 5 years in a leadership role, preferably within the insurance or reinsurance industry.
  • Strong background in data science, analytics, and data engineering, with hands-on experience in machine learning, AI, and big data technologies.
  • Deep understanding of the reinsurance or financial services industry, with the ability to align data strategies with business goals.
  • Proven ability to lead and develop high-performing teams, with excellent communication and interpersonal skills.
  • Ability to think strategically and translate complex data into actionable business insights.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field is highly desirable.
  • Familiarity with data privacy regulations, compliance, and industry standards.

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