Life Insurance Actuary (Intern/Trainee)
Job Title | Life Insurance Actuary (Intern/Trainee) |
Employer | Greenline Logistics |
Adress: Country | Nepal |
Address: City | Patan |
Work type | Flexible |
Expected Salary | 164530 NPR |
Posting Date | Tue Jun 10 2025 |
End Date | Sat Jun 28 2025 |



Greenline Logistics Corp.
164 530 NPR per month
Description:
We’re offering an Actuary Trainee position for someone who wants to turn data into smart, future-focused decisions — no experience needed, just a strong foundation in math and a drive to learn. 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 learn to calculate reserves, premiums, and risk margins under the guidance of experienced actuaries. Expect to work on both short-term projects like pricing support and long-term forecasting across multiple sectors. You’ll learn to interpret mortality tables, claim patterns, and economic assumptions. We’ll show you how to build assumptions into models and stress test them against real-world scenarios. You’ll participate in scenario modeling and learn how small assumptions can lead to big financial impacts. We’ll guide you through key actuarial metrics like expected value, standard deviation, and confidence intervals.
Basic Qualifications:
- Use tools like Excel, R, Python, or specialized actuarial software to run forecasts and simulations.
- Break down large problems into smaller pieces, testing assumptions and dependencies carefully.
- Communicate uncertainty, confidence intervals, and model limitations honestly and effectively.
- Perform scenario testing to evaluate the impact of events like inflation spikes, market crashes, or demographic shifts.
- Analyze risk using statistical models, historical data, and economic trends to support business decisions.
Preferred:
- Pays close attention to assumptions, methodologies, and sensitivity analysis in modeling.
- Values precision, accountability, and long-term thinking in data-driven decisions.
- Open to learning emerging tools like machine learning, predictive analytics, or data visualization platforms.
- Capable of conducting pricing, reserving, or capital modeling tasks under supervision.
- Enjoys solving complex quantitative problems with real-world financial impact.
Benefits:
- Paid time off, mental recharge days, and no guilt for taking a breather between rate reviews.
- If you love probability, logic, and making complex things make sense — you’ll fit right in.
- Clear documentation is valued — we don’t make you write a novel just to justify a coefficient.
- Collaborate cross-functionally — underwriters, devs, product managers, and data scientists.
- Your curiosity will be rewarded — we love people who ask “what if…” and build from there.
We’ll introduce you to actuarial exams, core concepts, and how to build a long-term path in this profession. You’ll also explore how regulation affects models and why transparency in assumptions matters. This is a great opportunity for someone who’s detail-oriented, organized, and loves the intersection of math and real-world application. This role is ideal for someone who enjoys logic, structure, and finding clarity in uncertainty. You’ll gain foundational experience that supports future actuarial exams and certifications. 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’re ready to apply math in a way that matters — and make sense of uncertainty — we’re ready to train you.
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