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Manager - Predictive Modeling

Location: New York, USA
Salary: Negotiable
Posted: 18 days ago
Contract Type: Permanent
Industry: Actuarial, Data & Technology
Contact Name: Jayne Laird
Contact Email: Jayne.Laird@ojassociates.com

Jayne Laird

Senior Consultant

See more of Jayne Laird's jobs

Manager - Predictive Modeling

Are you passionate about data? Do you have experience in the P&C insurance market? Do you want to be at the forefront of commercial business decisions? If so read on..

I am exclusively partnering with an international P&C insurer who are passionate about driving efficiency and growth through the use of intelligent business decisions backed by data! The business are expanding their Predicative Modeling team, and they need an experienced manager to lead the developing team!

Are you passionate about data? Do you have experience in the P&C insurance market? Do you want to be at the forefront of commercial business decisions? If so read on..

I am exclusively partnering with an international P&C insurer who are passionate about driving efficiency and growth through the use of intelligent business decisions backed by data! The business are expanding their Predicative Modeling team, and they need an experienced manager to lead the developing team!

You will manage and lead analytical projects to drive operational excellence, customer experience and revenue growth, whilst managing a team of 6 predictive modelers.

This is an opportunity to drive innovation, and develop the technical capabilities of an experienced team, whilst working in a challenging and collaborative where your opportunity to develop and succeed is only limited by your desire.

Required:

  • Experienced within the insurance industry (Life, P&C, Health)
  • 6-10 years experience of hands on Predicative modelling.
  • Knowledge of; regression, survival modelling, SVM, Neutral networks, decision tree, time series modelling, clustering.
  • Fluent in Python
  • Experience with SQL, NOSQL
  • Graduate degree; Mathematics, Statistics, or similar.

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