Senior Actuary - Experience Investigations

Absa Group; Sandton; Vor Ort; ZAR 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Absa Group in Johannesburg/Sandton seeks a senior Corporate Actuarial professional to lead experience investigations and assumption setting. You will drive data-driven insights, model validation, and AI-enabled enhancements across the insurance value chain.

You will collaborate with CFOs, Exco and external auditors, while mentoring actuarial students and delivering key priorities for the team.

Qualifikationen

• Bachelor's Degree in Actuarial Science (Required).
• Fellow Actuary status is essential.
• 7+ years’ experience in corporate actuarial life office valuations.
• Experience with ML/AI is beneficial.

Aufgaben

• Drive delivery of experience investigations and assumption setting, including 1st line QA.
• Improve investigation techniques with statistical tests and data quality.
• Lead adoption of modern tools and AI capabilities where appropriate.
• Research macro trends and provide management information for action.
• Collaborate with internal stakeholders including CFOs, Exco and Board committees.
• Lead actuarial students and support talent development.

Kenntnisse

Machine Learning

AI capabilities

Data quality

Statistical tests

Team leadership

Ausbildung

Bachelor's Degree: Actuarial Science

Fellow Actuary

Tools

Python

R

ML tools

Jobbeschreibung

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Belonging at Absa

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job Summary

Drive delivery of experience investigations and assumption setting, including best practice, which enables sounds management of business performance and financial risk.

Job Description

Key deliverables

• Drive delivery of experience investigations and assumption setting, including 1st line quality assurance

• Drive improvements in investigation techniques including statistical tests; data quality and structures; and implementation of machine learning capabilities to support setting of assumptions.

• Drive implementation and adoption of modern and robust tools, including AI capabilities where appropriate.

• Research on macro environment, and where appropriate international trends

• Drive development of management information that results in business action

• Develop robust controls to ensure assumptions are accurately reflected across the insurance value chain.

• As a senior member in the Corporate Actuarial team, collaborate and own deliverables where required to deliver top priorities for the broader team

People & Stakeholder management

• Responsibilities to support talent development including exam progression of students

• Leading a team of actuarial students

• Deliver to requirements of internal stakeholders, including business line CFOs, Exco, and Board committees.

• Collaboration with and delivering requirements for external stakeholders i.e. HAF, auditors, cell captive businesses etc.

• Drive a culture of continuous improvement

• Mitigate key-people risk dependencies

• undefined

Education

• Bachelor’s Degree: Actuarial Science
• Qualified Fellow Actuary

Experience

• 7+ years’ experience in corporate actuarial life office valuations.
• Preference will be given to candidates in line with the Group’s employment equity policy.
• Experience and exposure to machine learning and AI would beneficial

Education

Bachelor’s Degree: Actuarial Science (Required)