Actuarial Data Scientist / Pricing Analyst

Sompo Sigorta A.Ş. is one of the subsidiary of Sompo Japan Insurance Inc., which operates with 77.400 employees in the world as a pioneer in the sector with its technological infrastructure, product range created by considering customer needs, and customer-centered service approach, is looking for “Actuarial Data Scientist / Pricing Analyst” to take part in its growing team.

Job Description :

Our pricing and tariff management team is expanding and we are hiring for multiple roles with varying levels of experience.

These roles mainly include: data preparation, data analysis, modeling, model implementation, monitoring, strategic tariff management steps. Details of steps vary depending on the roles.

You will join a diverse team of professionals and have the opportunity to work on innovative projects.

Responsibilities:

· Preparing and analyzing data with complex manipulations on big data.

· Design and create end-to-end pricing processes for individual products.

· Building Actuarial Risk Models, Price Sensitivity Models and Hybrid Models with Statistical Learning and Machine Learning methods (GLM/GAM/Regression, GBM, Supervised Tree Based Algorithms, Unsupervised Models)

· Work closely and exchange information with internal teams (Product Managers, Marketing, IT, Claims) to improve the quality of pricing algorithms and develop pricing strategies.

· Manage the tariff by reviewing and monitoring the impact analysis of prices, market, models, products by creating new KPIs..

· Following new publications and academic papers in the field of data science and actuarial pricing, conducting practical R&D research and implementing well-performing structures together with IT.

· Develop tariff management strategies

· Creating reports and BI screens for all processes and ensuring their automatization.

Requirements:

· Graduated from related fields of universities (Mathematics, Statistics, Actuarial, Industrial Engineering or Computer Sciences) (Master's degree in related fields will be a plus)

· To be able to think multidimensionally and to have the ability to produce analytical solutions to problems.

· Practical and theoretical mastery of Machine Learning and Regression models.

· To have the competence to create and follow up analytical models

· Experience in insurance and/or data analytics.

· To have the ability to make presentations and tell a story with data.

· Advanced command of MS Office tools (especially excel)

· Experience in data preparation and analysis with at least one of Python, R, SQL, Knime, SAS platforms.

· Experience in WTW (Emblem, Radar) tools is a plus.

· Experience in Machine Learning and Deep Learning libraries in Python and R languages is a plus (H2O, Pytorch, scikitlearn, etc.).

· Experience in BI tools is a plus (PowerBI, QlickSense, Tableu, etc.)