Job Description

Actuarial Analyst: Risk Intelligence

Key Purpose

The Risk Intelligence division has an exciting opportunity available for high caliber individuals interested in a career in healthcare analytics. The units purpose is to create intelligence for a healthier tomorrow for our clients. The successful candidate must be motivated, apply critical thinking skills and have excellent communication skills.

Key outputs

Discovery Health administers a number of closed in-house employer medical schemes, as well as the largest open scheme in South Africa, the Discovery Health Medical Scheme. The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures.

You will be responsible for technical healthcare actuarial analysis, which may include regular monitoring reports, as well as detailed investigations for various initiatives. You will be expected to deliver clear and reliable results on tight and high pressured deadlines at times. The job entails applying the principles of risk adjustment, in the healthcare context, to the clinical analysis of claims data to deepen understanding of the scheme experience for guiding appropriate interventions to ensure sustainability through improvement of efficiency and quality of care. You may also be involved in assisting with the pricing of exciting new Discovery Health products before their launch. Data and model findings need to be clearly communicated to business users.

Competencies required:

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and team
• Manage complexity
• Excellent conceptual and technical ability
• Accuracy
• Analytical
• Verbal and written Communication

Qualifications & Experience:

• Actuarial science or Mathematical Statistics undergraduate degree
• Data and analytic work experience (1-3 years) (Beneficial)
• Understanding of risk adjustment methodologies (Beneficial)

Employment equity:

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

EMPLOYMENT EQUITY

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

Discovery