The job in short
Actuarial analysis.
PythonSQLAuditInsuranceUnderwritingCompliance
Details
- Found
- 22 d ago · posted 2026-08-17
- Location as listed
- Hyderabad, Telangana, India
- Role
- Actuary
- Source
- The company’s own careers site
Full description
• 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.