Pricing Specialist

This position will be responsible to interact with different teams throughout the company from IT to Commercial – this person will be responsible to use data from internal and external resources to generate adequate rates for the development of A&H business 

Key Responsibilities 

Develop pricing models of current/new products into Radar for P&C products in Latin America ; 

Recommend improvements to pricing standards; 

Prepare rate development/review analyses as required; 

Monitoring the main variables of the pricing to keep profitable products; 

Work with the databases and clean up to proper use in daily activities of Pricing team; 

Monitor data quality and recommend improvements to data capture and processing 

Provide insights and propose rate monitoring for A&H manager; 

Key Competencies

Strong pricing experience, preferably with system-integrated pricing models. Experience working with IT on system-wide model implementation and/or data restructuring would be a plus.  

Understanding KPIs such as COR, ULR, rate change, and their relation to profitability.  

Ability to work with a broad range of partners, from technical to strategic.  

Strong communication skills, with the ability to speak credibly about pricing and challenge in a constructive manner.  

Proactive and meticulous, without losing sight of the bigger picture.  

Commercially minded with an understanding of ML and AI.  

Willingness to be hands-on and work with data whilst; 

Accreditations (Education, Certifications and/or Experience) 

Actuary, Statistics or Data Science; 

5+ years of experience with data and pricing models;  

Prior experience using Radar and Databricks advantageous. 

Keen sense of detail and accuracy. 

Proven ability to influence others and build relationships.  

Demonstrated ability to communicate effectively both orally and in writing. Fluent in English and Spanish. 

Demonstrated ability to work well independently or in a team environment 

Advanced data skills, with experience working with large datasets using SQL, SAS, R, or Python.