Remote Actuarial Analyst – Risk Modeling & Insights

Placements24; Mtubatuba Local Municipality; Hybride; ZAR 600 000 - 1 000 000; Plein temps

Avantages offerts par ce poste

Remote work

Professional development

Medical aid

Pension fund

Résumé du poste

Placements24 in Richards Bay, KwaZulu-Natal, is seeking an Actuarial Analyst to develop and maintain risk and pricing models. The role focuses on data-driven insights to support underwriting, capital management, and regulatory reporting, with strong emphasis on quantitative analysis and stakeholder communication.

The ideal candidate is progressing through actuarial exams, has at least three years in actuarial work, and is proficient in Prophet, R, Python, and advanced Excel.

Qualifications

• Progress towards or completion of actuarial examinations.
• Minimum of 3 years of relevant actuarial experience.
• Strong proficiency in actuarial software and data analysis.
• Excellent analytical, statistical and modeling skills.

Responsabilités

• Develop, implement, and maintain actuarial models for risk assessment and capital management.
• Perform data analysis to identify trends, quantify risks, and inform business strategies.
• Conduct sensitivity testing and scenario analysis to understand risk factors.
• Prepare detailed reports and presentations for senior management and regulators.
• Collaborate with underwriting, finance and IT to integrate insights into processes.
• Help develop risk management frameworks and methodologies.
• Stay current with actuarial standards and regulatory requirements.
• Assist in validation and testing of new models and methodologies.
• Provide actuarial support for product development and pricing initiatives.
• Mentor junior analysts and support continuous learning.

Connaissances

Actuarial analysis

Data analysis

Statistical modeling

Communication

Formation

Actuarial exams

Outils

Prophet

R

Python

Excel

Description du poste

Placements24 in Richards Bay, KwaZulu-Natal, is seeking an Actuarial Analyst to develop and maintain risk and pricing models. The role focuses on data-driven insights to support underwriting, capital management, and regulatory reporting, with strong emphasis on quantitative analysis and stakeholder communication.

The ideal candidate is progressing through actuarial exams, has at least three years in actuarial work, and is proficient in Prophet, R, Python, and advanced Excel.