Senior Actuarial Analyst
1 day ago
Now Hiring: Senior Actuarial Analyst (Insurance / Data Analytics Focus)
Manila-based | Night Shift | US Client | Full-time
Are you an actuarial professional who thrives on making sense of complex data and transforming it into meaningful business insights? Join our growing actuarial team supporting a US-based specialty insurer and play a key role in analyzing medical professional and general liability risks.
What You'll Do
As a
Senior Actuarial Analyst
, you'll work closely with underwriters and actuaries to evaluate healthcare and professional liability portfolios. You'll be responsible for:
- Aggregating and analyzing large, complex
loss runs
from various sources (Excel, PDF, etc.) - Identifying claims that impact multiple layers of insurance coverage and calculating
ground-up losses - Reviewing and interpreting
actuarial funding studies
to extract key loss and exposure data - Populating and validating key inputs within rating models
- Analyzing
limit structures
and identifying
risk characteristics
across professional and general liability lines - Collaborating with actuaries to ensure data integrity and clarify anomalies
What We're Looking For
- Strong
Excel skills
– comfortable with formulas, lookups, and data aggregation - Experience working with
insurance data
, ideally within Property & Casualty or
Medical Professional Liability - Strong analytical and
problem-solving mindset
with a sharp eye for detail - Excellent communication skills — able to raise data concerns clearly and collaborate with cross-functional teams
- Bonus: Exposure to
actuarial studies, loss modeling, or reinsurance data
Why Join Us
- Be part of a
specialized actuarial and analytics team
supporting US-based actuaries - Gain exposure to
complex liability and reinsurance structures - Competitive compensation package aligned with expertise and performance
- Collaborative and learning-driven work culture
If you enjoy diving deep into data, uncovering insights, and contributing to smarter underwriting decisions — we'd love to meet you.
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