Actuarial Specialist

Outsized; Wes-Kaap; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Outsized is seeking a hybrid Actuarial Architecture professional to enable, govern, and continuously improve pricing, actuarial operations, and data analytics capabilities. You will link actuarial operations, business stakeholders, and IT to build robust infrastructure across pricing, data pipelines, and automation.

The role blends actuarial judgement with technical enablement, automation, and stakeholder engagement in a hybrid setting. Strong communication and problem-solving are essential.

Qualifications

• Actuarial student progressing in professional examinations.
• 4+ years of relevant work experience.
• Experience in actuarial operations, pricing operations, BI, data engineering, or business solutioning.

Responsibilities

• Develop and maintain pricing and actuarial processing infrastructure.
• Improve stability, efficiency, usability, and control of actuarial solutions.
• Translate business challenges into scalable technical solutions.
• Own solutions from design through deployment and support.

Skills

Excel VBA

Power Query

Python

C#

CI/CD

Governance

Stakeholder management

Communication

Problem solving

Cloud AWS

Education

Actuarial studies student

Tools

Power BI

Power Automate

Amazon S3

Amazon Redshift

Job description

The successful candidate will support the Actuarial Architecture team in enabling, governing, and continuously improving business-critical actuarial and operational capabilities across the organisation. The role will focus on:

• Pricing and actuarial processing infrastructure
• Actuarial operations
• AI and intelligent automation
• Data pipelines and ETL processes
• Data reporting and analytics enablement
• Operational data management and governance

This is a hybrid actuarial and technical role that combines actuarial judgement with strong operational delivery, technical enablement, and stakeholder engagement. The incumbent will serve as a key link between actuarial operations, business stakeholders, and Information Technology (IT), helping to build, maintain, govern, and enhance robust actuarial and operational processing infrastructure across the business.

Responsibilities

• Develop, enhance, and maintain scalable pricing and actuarial processing infrastructure.
• Improve the stability, efficiency, usability, and control of business-critical actuarial solutions.
• Ensure infrastructure remains robust, maintainable, auditable, and fit for purpose.
• Identify and implement opportunities to automate manual actuarial and business processes.
• Support the responsible integration of AI and intelligent automation into operational workflows.
• Ensure automation solutions are sustainable, controlled, and aligned with business requirements.
• Design and implement data pipelines and ETL processes to support pricing, actuarial operations, reporting, and analytics.
• Enable reliable data flow from source systems into business, actuarial, and analytical environments.
• Ensure data processes are repeatable, controlled, auditable, and fit for purpose.
• Translate business challenges into practical, scalable, and maintainable technical solutions.
• Own solutions throughout the lifecycle, from requirements gathering and design through to development, testing, implementation, and support.
• Continuously improve operational processes, automation capabilities, and processing infrastructure.
• Ensure solutions comply with model risk, IT, data governance, and broader risk management requirements.
• Maintain appropriate documentation, testing standards, controls, and governance over critical infrastructure and automation solutions.
• Support change management, operational resilience, and sustainable control frameworks across key actuarial processes.
• Act as a key liaison between actuarial teams, business stakeholders, operational teams, and IT.
• Support the delivery of strategic and operational initiatives across pricing, data, automation, and actuarial infrastructure.
• Communicate technical concepts clearly and effectively to both technical and non-technical audiences.
• Drive initiatives from requirements definition through to implementation, adoption, and handover.

Qualifications

• Actuarial student making good progress with professional actuarial examinations.
• Exceptional candidates from a relevant technical or analytical background may be considered even if they are not pursuing actuarial qualifications.
• Minimum of 4 years' relevant work experience.
• Experience within an actuarial operations, pricing operations, technical enablement, business intelligence, data engineering, or business solutioning environment.

Required Skills

• Strong proficiency in Microsoft Office and Microsoft 365.
• Advanced Microsoft Excel skills, including VBA and Power Query.
• Solid software development skills in Python and/or C#.
• Working knowledge of CI/CD pipelines and modern software deployment practices.
• Analytical and problem-solving ability.
• Strong technical aptitude.
• Stakeholder engagement and relationship management.
• Project delivery and execution.
• Communication and presentation skills.
• Governance and risk awareness.
• Continuous learning and innovation orientation.

Preferred Skills

• Experience within an actuarial operations, pricing operations, technical enablement, business intelligence, data engineering, or business solutioning environment.
• Experience with, or strong interest in, the Microsoft Power Platform, particularly:
• Power Automate
• Power BI

Exposure to Amazon Web Services (AWS), particularly:

• Amazon S3
• Amazon Redshift
• Related cloud and data management services