Actuarial
Salaryโน400k โ โน1M
LocationDelhi, Delhi, India
Typefull-time
SeniorityEntry
Experience1+ yrs
DepartmentWeekday's Client via platform
Company size10,000+ people
PostedOct 9, 2026 ยท 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
1+ years of relevant experience in actuarial analysis, insurance analytics, risk modelling, or a related quantitative role
Strong interest in health insurance, including claims analysis, pricing, underwriting, and product profitability
A degree in Actuarial Science, Statistics, Mathematics, Economics, Finance, or a related quantitative discipline
Strong analytical, mathematical, statistical, and problem-solving skills
Proficiency in Microsoft Excel and experience analysing structured datasets
Understanding of insurance concepts such as premiums, claims reserves, loss ratios, risk pooling, and underwriting
Strong attention to detail and the ability to interpret complex data accurately
Good communication and report-writing skills, with the ability to explain analytical findings clearly
Ability to collaborate across teams, manage multiple priorities, and work independently when required
A proactive learning mindset and interest in developing expertise in health insurance actuarial practices
Progress toward professional actuarial qualifications from bodies such as the Institute of Actuaries of India (IAI) or the Institute and Faculty of Actuaries (IFoA) is an advantage
Familiarity with SQL, Python, R, or statistical modelling tools is an advantage
Skills
Microsoft Excel
SQL
Python
R
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐โ๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ-๐ญ๐ฐ ๐๐ฃ๐)
Requirements
Experience: 1+ yrs
Location: India
Job Type: Full-time
About the role
We are looking for a detail-oriented and analytical Actuarial Analyst with a strong interest in health insurance, statistical modelling, and risk assessment. The ideal candidate will support actuarial analysis, pricing, reserving, product development, and portfolio performance evaluation to help drive informed business decisions.
This role is suited for a professional with a strong quantitative foundation and an understanding of insurance principles who can translate complex data into meaningful insights. You will work with actuarial, underwriting, claims, finance, and product teams to evaluate risk, improve pricing accuracy, monitor profitability, and support the development of sustainable health insurance products.
Requirements
Responsibilities
Key Responsibilities
โข
Analyse health insurance policy, premium, claims, and customer data to identify trends, patterns, and emerging risks.
โข
Support the development and review of actuarial pricing models for health insurance products.
โข
Assist in estimating claims frequency, severity, expected claims costs, and loss ratios.
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Conduct experience studies to evaluate actual performance against actuarial assumptions.
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Support reserving activities, including the analysis of incurred claims, outstanding claims, and claims development patterns.
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Evaluate portfolio profitability and identify factors affecting underwriting performance and claims costs.
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Develop statistical models and analytical tools to support pricing, forecasting, risk assessment, and business planning.
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Assist in monitoring key actuarial metrics, including claim ratios, premium adequacy, and portfolio performance.
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Prepare actuarial reports, dashboards, presentations, and analytical summaries for internal stakeholders.
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Collaborate with underwriting, claims, finance, product, and data teams to support business decisions.
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Support health insurance product development by analysing pricing assumptions, benefits, customer segments, and risk profiles.
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Validate data quality, maintain accurate analytical documentation, and ensure consistency in modelling assumptions.
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Assist with regulatory reporting and compliance-related actuarial requirements, as applicable.
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Identify opportunities to improve actuarial models, analytical processes, and reporting efficiency.
What Makes You a Great Fit
โข
1+ years of relevant experience in actuarial analysis, insurance analytics, risk modelling, or a related quantitative role.
โข
Strong interest in health insurance, including claims analysis, pricing, underwriting, and product profitability.
โข
A degree in Actuarial Science, Statistics, Mathematics, Economics, Finance, or a related quantitative discipline.
โข
Progress toward professional actuarial qualifications from bodies such as the Institute of Actuaries of India (IAI) or the Institute and Faculty of Actuaries (IFoA) is an advantage.
โข
Strong analytical, mathematical, statistical, and problem-solving skills.
โข
Proficiency in Microsoft Excel and experience analysing structured datasets.
โข
Familiarity with SQL, Python, R, or statistical modelling tools is an advantage.
โข
Understanding of insurance concepts such as premiums, claims reserves, loss ratios, risk pooling, and underwriting.
โข
Strong attention to detail and the ability to interpret complex data accurately.
โข
Good communication and report-writing skills, with the ability to explain analytical findings clearly.
โข
Ability to collaborate across teams, manage multiple priorities, and work independently when required.
โข
A proactive learning mindset and interest in developing expertise in health insurance actuarial practices.