Insurance Actuary (Entry-level Employee)

Job Title Insurance Actuary (Entry-level Employee)
Employer Noirline Consulting
Adress: Country Somalia
Address: City Mogadishu
Work type Internship
Expected Salary 1043750 SOS
Posting Date Tue Jun 10 2025
End Date Sun Jun 29 2025
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Logo of company Noirline Consulting

Noirline Consulting Corp.

Salary:

1 043 750 SOS per month

Mogadishu
Internship
No experience

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 assist in developing financial models that help estimate uncertainty and support smarter decision-making. We’ll teach you how to work with data sets, clean messy inputs, and extract meaningful insights for actuarial use. You’ll help write technical documentation and support teams with spreadsheets, visualizations, and reports. Expect to explore how assumptions about age, health, behavior, and economy affect insurance pricing or pension planning. You’ll help update actuarial reports, check formulas, and validate the logic behind existing calculations. We’ll introduce you to loss triangles, exposure curves, and the building blocks of long-term projections. You’ll assist in creating reports and charts that help stakeholders make informed, risk-aware decisions. You’ll support scenario analysis and contribute to regular model updates based on fresh data inputs.

Basic Qualifications:

  • Participate in quarterly or annual filings, helping to meet reporting deadlines without cutting corners.
  • Break down large problems into smaller pieces, testing assumptions and dependencies carefully.
  • Adapt models for use in new product lines or geographies as the business grows.
  • Refine models based on actual outcomes to improve predictive accuracy over time.
  • Collaborate with data engineers or analysts to streamline data pipelines and improve accuracy.

Preferred:

  • Willing to assist in preparing reports, presentations, and technical documentation for stakeholders.
  • Organized in managing data sources, documentation, and model version control.
  • Understands regulatory environments and reporting requirements in insurance or finance.
  • Background or strong interest in actuarial science, economics, risk management, or applied statistics.
  • Progress toward actuarial credentials (e.g., SOA, CAS, IFoA) with exams passed or in progress.

Benefits:

  • Collaborate cross-functionally — underwriters, devs, product managers, and data scientists.
  • We support exam prep with time off, full reimbursement, and a Slack channel that understands pain.
  • Company-paid access to actuarial tools — R, Python, Prophet, Emblem, or whatever helps you model best.
  • Colleagues who love talking about distributions, not just donuts (though we have both).
  • We respect quiet achievers, detail diggers, and spreadsheet whisperers.

You’ll also assist in risk reporting and learn how to interpret the results of your own models accurately. You’ll also explore how regulation affects models and why transparency in assumptions matters. You’ll gain exposure to regulatory requirements and how actuaries ensure compliance through accurate modeling. You’ll develop a strong foundation in actuarial logic, modeling ethics, and data interpretation. You’ll gain exposure to life insurance, pensions, health models, or general insurance depending on placement. You’ll leave with practical experience that complements your actuarial studies or builds the base to start them. By the end of your traineeship, you’ll be able to contribute meaningfully to actuarial projects and communicate your insights. If you’re ready to apply math in a way that matters — and make sense of uncertainty — we’re ready to train you.

Published: Tue Jun 10 2025 18:07:23

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