The Role
Supports insurance pricing, reserving, regulatory filings, and actuarial model development. Analyzes historical data, market trends, competitor performance, customer behavior, and actuarial methodologies to inform decisions. Collaborates with claims, finance, underwriting, and data science teams on granular pricing algorithms, regulatory regimes such as Ind AS 117 and RBC, and cross-functional initiatives. Prepares reports, presentations, visualizations, and recommendations for senior management while responding to audits and regulatory queries.
Summary Generated by Built In
- Assist
in the development and implementation of pricing models and strategies
- Assist
in the reserving process, ensuring compliance with regulatory requirements
and internal policies.
- Work on
the pricing for government business, including tenders.
- Analyse
historical data, market trends, competitor results and actuarial methodologies,
and customer behavior for actuarial decisions.
- Contribute
to the development and refinement of actuarial models and methodologies.
- Collaborate
with claims, finance and underwriting teams to provide insights from
actuarial analysis.
- Support
the actuarial team in regulatory filings, compliance and responding to
audit/regulatory queries.
- Prepare
detailed reports, presentations and visualisation tools to communicate actuarial
analysis, results and recommendations to senior management.
- Work
closely with data scientists to utilise spatiotemporal data and build
granular and dynamic pricing algorithms.
- Work on
implementation of new regulatory regimes like Ind AS 117 and Risk Based
Capital (RBC).
- Stay
updated with industry trends, regulatory changes, and best practices in
actuarial profession.
- Participate
in cross-functional projects and initiatives as required.
Requirements
- Bachelor's degree in
actuarial science, mathematics, statistics, commerce or a related field.
- Progress towards actuarial
qualifications with a recognized actuarial body (e.g., IAI) is highly
desirable.
- 1+ years of prior experience
in an actuarial function within the insurance industry is advantageous.
- Proficiency in MS Office
Suite, VBA, SQL and Python along with use of emerging technologies like GPTs
and Power Platforms is desirable.
- Deep understanding of
actuarial principles, regulatory environment, and product development processes.
- Strong analytical and
problem-solving skills.
- Strong attention to detail
and ability to handle complex data.
- Good communication skills,
with the ability to present findings in a clear and concise manner.
- A team player with a
proactive approach to tasks and projects.
Skills Required
- Bachelor's degree in actuarial science, mathematics, statistics, commerce, or a related field
- Progress toward actuarial qualifications with a recognized actuarial body, such as IAI
- At least 1 year of experience in an actuarial function within the insurance industry
- Proficiency in MS Office Suite, VBA, SQL, and Python
- Experience with emerging technologies such as GPTs and Power Platform
- Deep understanding of actuarial principles, regulatory environments, and product development processes
- Strong analytical and problem-solving skills
- Strong attention to detail and ability to handle complex data
- Good communication skills and ability to present findings clearly and concisely
- Team-oriented approach and proactive attitude toward tasks and projects
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The Company
What We Do
Kshema General Insurance Limited is a fully digital insurance provider in India focused on making farmers financially resilient and independent. It develops and delivers crop and agricultural insurance coverage for cultivators in the agriculture and food sectors, including protection against natural perils and climate-related risks. Through digital platforms, customers can buy or renew policies, file claims, and track claim status.
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