Actuarial Data Analyst: Reserving & AI Insights

Allianz; Fatih; On-site; TRY 180,000 - 340,000; Full time

Job summary

Allianz is seeking a data-driven actuarial analyst based in Fatih, Istanbul, to compile data and support reserve analyses, while developing modeling processes for efficient reserve management. You will prepare indicators to evaluate portfolios and reserves and contribute to actuarial reporting for domestic and international submissions.

The role requires up to 3 years in actuarial/reserving, strong data analysis skills, English proficiency, and familiarity with SAS, KNIME, Python and SQL.

Qualifications

• Bachelor’s or master’s degree in engineering, actuarial science, statistics, or mathematics.
• Up to 3 years experience in actuarial and reserving, preferably in P&C.
• Strong data analysis experience.
• Detail oriented with good communication and teamwork.
• Advanced proficiency in English.
• Experience with analytics platforms like SAS, SAS Enterprise Guide, Knime.
• Familiar with ResQ.
• Knowledge of Python and SQL.
• Interest in AI development, data analytics, data intelligence, AI/Data strategy and ChatGPT.

Responsibilities

• Compile data for periodic and daily actuarial analyses.
• Develop modeling processes related to reserve management.
• Prepare indicators for evaluating portfolios and reserves.
• Research and implement new actuarial methods.
• Prepare actuarial reports for domestic and international submission.
• Support internal and external audit work.
• Monitor relevant IFRS regulations and guidance.
• Participate in Allianz group projects within the department.

Skills

Data analysis

Detail oriented

Communication

Teamwork

English proficiency

SAS

SAS Enterprise Guide

KNIME

ResQ

Python

SQL

AI enthusiasm

Education

Bachelor’s or master’s degree in engineering, Actuarial Science, Statistics or Mathematics

Tools

SAS

SAS Enterprise Guide

KNIME

ResQ

Python

SQL

Job description

Allianz is seeking a data-driven actuarial analyst based in Fatih, Istanbul, to compile data and support reserve analyses, while developing modeling processes for efficient reserve management. You will prepare indicators to evaluate portfolios and reserves and contribute to actuarial reporting for domestic and international submissions.

The role requires up to 3 years in actuarial/reserving, strong data analysis skills, English proficiency, and familiarity with SAS, KNIME, Python and SQL.