Motor Pricing Specialist — Data-Driven Modeling

tawuniya; As Sudiyah; On-site; OMR 12,000 - 18,000; Full time

Job summary

Tawuniya, a prominent insurer, is seeking a pricing specialist to join its pricing team in leveraging data to shape commercial decisions in the Middle East market.

The role focuses on building GLM-based pricing models, validating pricing hypotheses, and presenting insights to stakeholders. You will develop pricing expertise and apply SAS, SQL, and Excel to large datasets while ensuring accuracy and thorough documentation.

Qualifications

• Degree in a numerate discipline (actuarial science, mathematics, statistics, data science, or economics).
• Strong analytical and numerical ability with a solid grasp of statistical concepts.
• Proficiency in SAS, SQL and Excel, or aptitude to pick them up quickly.
• High attention to detail and a methodical, accuracy-focused approach to data.
• Ability to explain technical results clearly to non-technical audiences.

Responsibilities

• Build, refine, and maintain GLM-based pricing models.
• Use the WTW pricing suite: Emblem & Radar.
• Extract, clean, and manipulate large datasets using SAS, SQL, and Excel to support pricing analysis.
• Monitor portfolio performance—loss ratios, conversion, retention, mix, and volumes; flag emerging trends.
• Present clear findings to pricing managers and stakeholders.
• Support periodic rate reviews and ad hoc pricing investigations.
• Help implement and test rate changes with robust checking and documentation.

Skills

Pricing analytics

GLM modeling

SAS

SQL

Excel

Data storytelling

Communication

Education

Actuarial science

Statistics

Economics

Tools

Emblem

Radar

Job description

Tawuniya, a prominent insurer, is seeking a pricing specialist to join its pricing team in leveraging data to shape commercial decisions in the Middle East market.

The role focuses on building GLM-based pricing models, validating pricing hypotheses, and presenting insights to stakeholders. You will develop pricing expertise and apply SAS, SQL, and Excel to large datasets while ensuring accuracy and thorough documentation.