Actuarial Business Analyst
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Job Location:
George - South Africa
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Reference: FNI000855-MCVV-2
#SHIFTINTOHIGHCAREER by joining a Company that seeks the expertise of a Actuarial Business Analyst to manage a team of Data Scientists
#SHIFTINTOHIGHCAREER by joining a Company that seeks the expertise of a Actuarial Business Analyst to manage a team of Data Scientists
Duties & Responsibilities
Minimum Requirements
Expectations
Please send your CV to
Visit our website on
Follow us on Facebook and LinkedIn @GAP Consulting or on X @GAPRecruitment
GAP Consulting
SAs Premium Recruitment Consultancy
Essential:
- Degree or Honours in Actuarial Science with a solid grounding in actuarial techniques and methodologies (e.g. risk modelling claims prediction survival analysis)
- 7 years experience in the insurance or financial services industry with a focus on actuarial analysis and the application of machine learning to solve actuarial problems
- Proven expertise in building and deploying actuarial models (pricing reserves claims forecasting) combined with machine learning techniques to enhance decision-making
- Strong experience in claims modelling survival analysis and the application of predictive analytics to real-world actuarial problems
- Leadership experience in managing or mentoring a team of actuarial professionals and data scientists to deliver complex analytics solutions
- Proficiency in BI tools (e.g. Power BI Tableau Qlik Sense) for translating model outputs into business-friendly visualizations
- Excellent communication skills with the ability to convey complex technical findings in clear actionable terms to non-technical stakeholders
Preferred:
- Hands-on experience with Python R SQL and cloud platforms (e.g. Snowflake AWS or Azure) for model development and deployment
- Experience working with large datasets and building scalable data pipelines to support actuarial and machine learning models
- Ability to shape and prioritize both technical and business requirements balancing actuarial rigor with business acumen
- Strong understanding of data-driven decision-making frameworks especially in actuarial and insurance contexts
Expectations
Direct & Cultivate
- Lead mentor and develop a team ofData Scientists to deliver high-impact solutions using both actuarial methodologies and advanced machine learning techniques
- Cultivate a collaborative high-performance culture that encourages innovative problem-solving and data-driven decision-making
- Ensure team members have the skills resources and support to push the boundaries of whats possible in actuarial and data science modelling
Design & Deliver
- Oversee the design testing and deployment of actuarial models (including pricing claims reserving and survival models) alongside machine learning models to solve critical business problems
- Combine actuarial science principles with advanced statistical modelling and machine learning algorithms to create highly effective actionable solutions
- Measure track and communicate the commercial impact of models ensuring clear business outcomes from every project
- Continuously evaluate and refine model accuracy relevance and alignment with shifting business priorities
Integrate Tech & Operations
- Act as the critical point of contact between the data scientists and business stakeholders ensuring alignment of business goals with technical deliverables
- Translate complex actuarial and machine learning concepts into clear actionable insights for senior leadership ensuring data-driven decisions are well understood across the organization
- Lead the integration of actuarial model outputs into the day-to-day operations driving operational change and ensuring model adoption at all levels of the business
Enhance Performance
- Gather and document detailed requirements for actuarial analytics projects ensuring both technical and business needs are understood and addressed
- Promote the use of best practices in actuarial modelling data science techniques and machine learning deployments striving for continuous improvement and innovation
- Identify and implement opportunities for process improvements ensuring the models are optimized and the business is maximizing the value of data
- Negotiable Basic Salary
- Incentives
- Benefits
Please send your CV to
Visit our website on
Follow us on Facebook and LinkedIn @GAP Consulting or on X @GAPRecruitment
GAP Consulting
SAs Premium Recruitment Consultancy
Package & Remuneration
Monthly
Required Experience:
IC
Key Skills
- SQL
- Python
- Compliance
- Access
- Actuarial Models
- Acturial support
- Data Collection
- Powerpiont
- SAP
- Tableau
- Excel
- Mathematics
- VBA
- Data Analysis
- Statistical Analysis
