Health Insurance Actuary (Intern/Trainee)
Job Title | Health Insurance Actuary (Intern/Trainee) |
Employer | Driftlane Mobility |
Adress: Country | Namibia |
Address: City | Tsumeb |
Work type | Internship |
Expected Salary | 24942 NAD |
Posting Date | Tue Jun 10 2025 |
End Date | Mon Jul 07 2025 |



Driftlane Mobility Corp.
24 942 NAD per month
Description:
We’re looking for an Actuary Trainee who wants to learn how numbers shape the future of finance, insurance, and risk — no prior experience needed, just strong analytical skills and attention to detail. You’ll work alongside experienced actuaries to assist with forecasting, modeling, and analyzing large sets of financial data. We’ll teach you how to collect, clean, and interpret data to support pricing, forecasting, and decision-making. You’ll learn to use industry-standard tools and spreadsheets to simulate future scenarios and analyze risk exposure. Expect to calculate probabilities, analyze trends, and understand how small shifts in data impact financial outcomes. You’ll support quarterly updates, regulatory filings, and model validations that directly inform business strategy. We’ll show you how to build assumptions into models and stress test them against real-world scenarios. You’ll sit in on meetings where risk is discussed not just mathematically, but as business impact. We’ll introduce you to stochastic methods, credibility theory, and the building blocks of solvency calculations.
Basic Qualifications:
- Document assumptions and methodologies clearly so others can validate or reproduce results.
- Train or mentor junior actuarial staff and help them prepare for certification exams.
- Take a proactive role in identifying risks before they become expensive problems.
- Build and maintain actuarial models that predict outcomes for insurance, finance, or pension products.
- Collaborate with data engineers or analysts to streamline data pipelines and improve accuracy.
Preferred:
- Experience working with actuarial software, spreadsheets, or programming languages such as R, Python, or SQL.
- Maintains confidentiality, objectivity, and compliance with professional standards.
- Thrives in analytical, detail-focused environments where models drive business strategy.
- Comfortable using tools like Excel (with advanced functions), SAS, Prophet, or VBA for data manipulation.
- Experience with audit support or regulatory submissions is a plus.
Benefits:
- Clear growth path — analyst → associate → senior → partner (with zero office politics).
- Company-paid access to actuarial tools — R, Python, Prophet, Emblem, or whatever helps you model best.
- Your curiosity will be rewarded — we love people who ask “what if…” and build from there.
- Your models don’t just predict — they *protect* businesses, clients, и целые отрасли.
- You’ll turn chaos into clarity — using math, logic, и немного магии Excel.
You’ll be trained to write clear summaries, document methodologies, and flag inconsistencies in inputs or assumptions. We’ll show you how actuaries explain complex outputs to non-technical teams and ensure transparency in communication. You’ll get real-world exposure to how risk is measured, reported, and mitigated across industries. Expect to work with tools like Excel, R, Python, or specialized actuarial software — we’ll help you ramp up as needed. You’ll gain exposure to life insurance, pensions, health models, or general insurance depending on placement. This is perfect for someone who enjoys math, logic, and finding patterns in data that others miss. You’ll be better prepared for exams, future roles, or even a specialization in health, life, or general insurance. If you want to use math to reduce uncertainty and build stability — this is where your actuarial journey begins.
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