Risk Analyst (Actuarial) (Trainee)
Job Title | Risk Analyst (Actuarial) (Trainee) |
Employer | Searchability |
Adress: Country | Bosnia and Herzegovina |
Address: City | Sarajevo |
Work type | Flexible |
Expected Salary | 1963 BAM |
Posting Date | Tue Jun 10 2025 |
End Date | Thu Jun 19 2025 |



Searchability Corp.
1 963 BAM per month
Description:
We’re looking for an Actuary Trainee who’s ready to apply mathematical thinking to real-world uncertainty — no previous experience required, just strong logic, curiosity, and precision. 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 help assess risks in areas like insurance, pensions, or investment products, depending on the team you join. Expect to work on both short-term projects like pricing support and long-term forecasting across multiple sectors. You’ll learn about reserves, premiums, and solvency — and how actuaries help companies stay financially prepared. We’ll show you how to present complex data in ways that support better, faster decisions for stakeholders. You’ll sit in on meetings where risk is discussed not just mathematically, but as business impact. We’ll show you how to stress-test assumptions and identify weaknesses in financial models before they become risks.
Basic Qualifications:
- Perform scenario testing to evaluate the impact of events like inflation spikes, market crashes, or demographic shifts.
- Review reinsurance arrangements and evaluate how they affect risk exposure and capital needs.
- Break down large problems into smaller pieces, testing assumptions and dependencies carefully.
- Communicate uncertainty, confidence intervals, and model limitations honestly and effectively.
- Train or mentor junior actuarial staff and help them prepare for certification exams.
Preferred:
- Can contribute to product development, solvency modeling, or strategic planning initiatives.
- Familiar with building models to assess risk, calculate premiums, and forecast future liabilities.
- Familiar with concepts like mortality tables, loss ratios, claim development, and reinsurance.
- Can communicate technical findings clearly to non-technical stakeholders, including management and clients.
- Comfortable using tools like Excel (with advanced functions), SAS, Prophet, or VBA for data manipulation.
Benefits:
- Your models don’t just predict — they *protect* businesses, clients, и целые отрасли.
- No vague gut decisions here — your numbers drive strategy, policy, and pricing.
- We celebrate model accuracy, low loss ratios, and clever assumptions that saved millions.
- Clear documentation is valued — we don’t make you write a novel just to justify a coefficient.
- You’ll work with teams that respect data — not “can’t we just round up?” folks.
You’ll also assist in risk reporting and learn how to interpret the results of your own models accurately. You’ll learn how to assess risk not just as numbers, but as part of larger financial systems. This is a perfect opportunity for someone who enjoys puzzles, patterns, and applying structure to ambiguity. You’ll develop a strong foundation in actuarial logic, modeling ethics, and data interpretation. You’ll get hands-on experience in real projects that balance technical rigor with business relevance. This role is perfect for detail-oriented individuals who love solving problems with logic, precision, and creativity. By the end of your traineeship, you’ll have worked on live data, real reports, and made measurable contributions. If you’re excited by the idea of using math to bring clarity to risk — this is where your actuarial story begins.
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