Actuarial Analyst

GIG Gulf; Dubai; On-site; AED 90,000 - 130,000; Full time

Job summary

GIG Gulf in Dubai is seeking an Actuarial Analyst with 3–5 years of P&C or Healthcare reserving experience to drive data‑driven insights that shape healthcare profitability.

You’ll build and refine reserving models (Chain Ladder, Mack, Bootstrap, Bornhuetter-Ferguson), perform profitability analyses, and contribute to IFRS17 reporting, while collaborating across actuarial, IT, risk, and audit teams using SQL, Python, R, C++, and Power BI.

Qualifications

• 3–5 years of P&C or Healthcare actuarial reserving experience
• Bachelor’s or Master’s degree in Actuarial Science or related field
• Experience with IFRS17 is a plus
• Strong SQL, Python, R, and data visualization skills
• Ability to communicate complex results to non-technical stakeholders

Responsibilities

• Manage monthly reserving tasks for Healthcare and P&C lines
• Develop reserving models (Chain Ladder, Mack, Bootstrap, Bornhuetter-Ferguson)
• Conduct profitability analyses for Healthcare segments
• Support IFRS17 reporting and regulatory compliance
• Collaborate with actuarial, IT, risk, and audit teams
• Contribute to ad-hoc studies and data governance initiatives

Skills

Actuarial modelling

Data analytics

Statistical analysis

Data visualization

Communication

Education

Bachelor's or Master's in Actuarial Science, Mathematics, Statistics, Data Science

Tools

ResQ

IBNRS

SQL

Postgres

Python

C++

R

SAS

Power BI

Job description

If you’re a dynamic Actuarial Analyst with 3 to 5 years of significant P&C or Healthcare actuarial reserving experience, join us to revolutionize healthcare insurance through transformative power of data-driven approaches.

As an Actuarial Analyst at GIG you’ll play a vital role in strategic decisions by combining actuarial insights with data science methodologies. Collaborate across departments, analyze complex datasets, build robust models, and utilize visualization tools to shape healthcare reserving results and contribute to an accurate profitability analysis of the business.

Key Responsibilities:

• Manage monthly reserving tasks for Healthcare lines of business, ensuring precision and regulatory compliance.
• Develop tailored reserving models for diverse Healthcare segments, encompassing Commercial Lines (SME, Corp) and Personal Lines (PL).
• Conduct profitability analysis for various Healthcare segments, contributing to well-informed strategic decisions.
• Contribute to regulatory reporting, including the implementation of IFRS17 requirements.
• Foster collaboration with external actuaries, auditors, and reinsurers for alignment and compliance.
• Assist in ad-hoc studies requested by the Head of Actuarial across various lines of business.
• Stay updated with industry trends and best practices in both actuarial science and data science domains.

Operational & Technical Responsibilities:

• Collaborate closely with actuarial, IT, risk management, claims operations, accounting, and audit teams to understand business needs and develop data-driven solutions for healthcare reserving.
• Display expertise in a range of reserving techniques, including Chain Ladder, Mack, Bootstrap and stochastic modeling.
• Demonstrate proficiency in industry-standard software such as ResQ and IBNRS for robust reserving knowledge.
• Utilize advanced data science tools including SQL, Postgres, Python, and C++ for data manipulation and analysis.
• Employ tools like Power BI for dynamic dashboard creation, effectively communicating intricate findings.
• Apply statistical analysis and predictive modeling to identify trends and risks within complex healthcare datasets.
• Collaborate with IT teams to ensure data security, integration, and integrity, actively contributing to data governance.
• Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Data Science, or related fields.
• 3 to 5 years of significant experience in P&C or Healthcare actuarial reserving positions, with a strong focus on healthcare reserving and related tasks.
• Proficiency in SQL for data extraction, transformation, and querying from relational databases.
• Strong coding skills in R and Python, along with C++, with familiarity in tools like SAS and Postgres.
• Sound experience in advanced statistical analysis, predictive modeling, and data visualization techniques and tools such as Power BI.
• In-depth knowledge of various P&C reserving techniques, including Chain Ladder, Mack, Bootstrap stochastic modeling, Bornhuetter-Ferguson, etc.
• Effective communication skills for translating complex findings to diverse audiences.