EU Analytics Engagement Lead

Salary: £66,000 – £78,000 per year

Verisk are looking for an Analytics Engagement Lead to serve as the engagement lead in partnering with internal business units and external

Do you have experience in conceptualising and leading execution of new predictive modeling initiatives? If yes we would love to hear from you!

In this role you would:

* Mentor and train junior level analysts

* Manage multiple projects or work streams through all the cycles of the analytical continuum of descriptive, diagnostic, predictive and prescriptive analytics.

* Act as the resident subject matter expert in developing innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as creating design requirements and project timeline

* Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resources

* Serve as an enterprise innovation leader on data munging, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets

* Serve as the leader in model development and validation analyses – from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff

* Lead the development and execution of methods to address needed business diagnostics; review, and aid productisation and deployment

* Provide significant input to senior leadership team and Product Management on process improvement, implementation specifications and production testing

* Act as a leader to develop process and metrics to monitor model performance

* Review reports and make recommendations for needed model refits / enhancements

* Engage with customers, both internal and external, to promote Verisk as a leader in Claims decision support products and analytical innovation.

* Understand customers issues and gather feedback to help create our overall analytics strategy and roadmap

* Provide significant input to Senior Management Team and Product Management on implementation specifications and production testing

* Potential to manage staff including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training

* Research literature to stay current on technical methods to solve specific problems