Job Description

Job Summary Job responsibilities:
Data Analysis and Interpretation:
- Analysis of complex data sets to derive actionable insights.
- Development and maintenance of statistical models and algorithms for actuarial
assessments
- Use of predictive modelling techniques to forecasting, costing and risk management.
AI Integration:
- Explore and integrate artificial intelligence technologies to enhance actuarial processes.
- Collaborate with data scientists and engineers to develop AI-driven solutions for healthcare
analytics.
- Implement machine learning models to improve risk assessment and decision support.
Actuarial Expertise:
- Assessment and analysis healthcare provider data.
- Evaluate pricing strategies, reserve requirements, and financial reporting.
- Collaboration to ensure accurate and sustainable pricing.
Regulatory Compliance:
- Stay up-to-date with healthcare and actuarial industries regulations and standards.
- Ensuring compliance with relevant laws and regulations in healthcare and actuarial
practices.
Reporting and Communication:
- Create comprehensive reports and presentations for internal and external stakeholders.
- Effectively communicate findings and recommendations to clients and team members.
Research and Innovation:
- Staying informed about the latest trends and developments in healthcare and actuarial
space, AI, and predictive modelling.
- Contribute to research and development projects to advance our firm's capabilities.
Analyst - Job Spec
Ad hoc:
- Support senior resources with consulting projects, including product development strategic
projects, and research
- Performance of actuarial valuations and calculations.
- Client engagement.
- Verification of data sources.
Required qualifications and skills:
- Bachelors Degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer
Science or any related field. Advanced degrees and relevant certifications are a plus.
- A keen interest in AI and predictive modelling, with the ability to apply these technologies to
actuarial processes.
- Strong analytical, mathematical/statistical, and problem-solving skills.
- Proficiency in statistical software, programming languages and machine learning applications
(e.g., R, Python), and data manipulation tools (e.g., SQL).
- Experience in healthcare actuarial work or a related field is highly advantageous.
- Exceptional communication skills, both written and verbal, with the ability to present
complex information to non-technical stakeholders.
- Regulatory compliance knowledge in the healthcare industry is a plus.
- Strong Organizational and Time Management Skills- The ideal candidate must have the ability
to effectively manage multiple tasks, projects, and deadlines is crucial. You should be highly
organized, capable of prioritizing work, and ensuring that projects are completed in a timely
manner.
- Self-Starter and Detail-Oriented. The successful candidates must be a self-motivated
individual who can work independently and take initiative. Attention to detail is essential, as
accuracy is paramount in actuarial work.
- Proficiency with Microsoft Office. The ideal candidate must be proficiency in Microsoft Office
products, particularly Excel, Word, PowerPoint, and Outlook.Flink RecruitmentRecruiter

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