Senior Actuarial Analyst

Kshema General Insurance

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

10 days ago

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Job summary

Kshema General Insurance in Hyderabad is seeking an experienced actuary to drive pricing, reserving, and capital management through robust modeling and analysis. You will work with cross‑functional teams and apply Ind AS/IFRS standards to inform business decisions.

You will provide strategic guidance to senior management and other stakeholders, leveraging strong technical skills in statistical modeling with R and Python.

Qualifications

  • 4-8 years of experience in an actuarial role within the insurance industry.
  • Strong knowledge of Ind AS/IFRS standards and their application in an insurance context.
  • Proficiency in developing complex mathematical models using statistical software such as R or Python.

Responsibilities

  • Conduct actuarial analysis to support business decisions, including pricing, reserving, and capital management.
  • Develop and maintain complex models using Ind AS/IFRS standards to analyze financial data.
  • Collaborate with cross-functional teams to identify areas of improvement in insurance operations and implement changes accordingly.
  • Provide expert advice on actuarial matters to senior management and other stakeholders.

Skills

Actuarial analysis
Pricing
Reserving
Capital management
Statistical modeling

Tools

R
Python

Job description

Roles and Responsibilities :
  • Conduct actuarial analysis to support business decisions, including pricing, reserving, and capital management.
  • Develop and maintain complex models using Ind AS/IFRS standards to analyze financial data.
  • Collaborate with cross-functional teams to identify areas of improvement in insurance operations and implement changes accordingly.
  • Provide expert advice on actuarial matters to senior management and other stakeholders.
Job Requirements :
  • 4-8 years of experience in an actuarial role within the insurance industry.
  • Strong knowledge of Ind AS/IFRS standards and their application in an insurance context.
  • Proficiency in developing complex mathematical models using statistical software such as R or Python.
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