Actuarial Intern (4months) - [P107]
Published date: 2026/11/07
- Location: Delhi, Delhi, India
Position Summary
We are seeking to hire an Actuarial Intern join AInsurCo Team.
This role provides actuarial support and analysis across multiple clients within the Actuarial function
This covers pricing, reserving, capital management and portfolio optimisation across.
Key Responsibilities
Under supervision of experienced members of the actuarial team:
Learn about commercial insurance business and develop an understanding of the actuarial and data techniques required to analyse its performance
Undertake analysis covering all aspects of the actuarial function
This will include collaborating with peers.
Support the business partner by understanding the features of specified lines of business and developing guidance on the performance of those lines of business
Learn to extract and manipulate product, insurance and financial data to enhance business insights and performance
Collate appropriate quantitative metrics including reserves, management information, portfolio analytics and profitability analysis
Help to embed their use and understanding within the business
Work with senior members of the actuarial team in preparing committee papers and business presentations
When working in specific teams this will also include
Catastrophe Modelling
Support Catastrophe Modelling for all lines of business by collating, manipulating and analysing data relevant to individual accounts
Pricing
Learn about and support the delivery of rating models, tools and rate relativities for all lines of business and regions .
Support large account pricing for all lines of business by collating, manipulating and analysing data relevant to individual accounts
Reserving
Support the quarterly reserving cycle including production of materials for discussion with stakeholders and wider reporting requirements
Capital and Portfolio Optimisation
Support running of the capital model, production of outputs for the annual capital setting process and portfolio considerations
Skills, Knowledge & Abilities
Flexible thinking; an ability to earn Actuarial models and approaches for a range of standard and specialised products, and to combine account, portfolio and external data sources.
Comfort in using data with an enthusiasm to undertake detailed data driven analysis and portfolio investigations
Ability to learn how to extract, manipulate, enhance and visualise a variety of data sets that can feed into analyses
This is expected to lead on to supporting future predictive analytics and machine learning projects.
Commercial-mindedness and the ability to develop business understanding including insurance financial statements and performance metrics
The ability to input into larger projects, including working to deadlines
Professionalism and thoroughness
Strong communication skills and the ability to work well with other disciplines
Education & Experience
A strong academic background including a technical degree such as Actuarial Science, Maths, Economics or Physics
Experience with data either through work or academic experience is preferable or a strong desire to develop the required techniques
Experience of predictive modelling or data science is highly desirable
A commitment to undertake the actuarial exams is required with the expectation of qualifying
Strong IT literacy – facility with MS Excel and databases are necessary, use of R, Python, XML, SQL, VBA or data visualisation tools would be a distinct advantag
We are seeking to hire an Actuarial Intern join AInsurCo Team.
This role provides actuarial support and analysis across multiple clients within the Actuarial function
This covers pricing, reserving, capital management and portfolio optimisation across.
Key Responsibilities
Under supervision of experienced members of the actuarial team:
Learn about commercial insurance business and develop an understanding of the actuarial and data techniques required to analyse its performance
Undertake analysis covering all aspects of the actuarial function
This will include collaborating with peers.
Support the business partner by understanding the features of specified lines of business and developing guidance on the performance of those lines of business
Learn to extract and manipulate product, insurance and financial data to enhance business insights and performance
Collate appropriate quantitative metrics including reserves, management information, portfolio analytics and profitability analysis
Help to embed their use and understanding within the business
Work with senior members of the actuarial team in preparing committee papers and business presentations
When working in specific teams this will also include
Catastrophe Modelling
Support Catastrophe Modelling for all lines of business by collating, manipulating and analysing data relevant to individual accounts
Pricing
Learn about and support the delivery of rating models, tools and rate relativities for all lines of business and regions .
Support large account pricing for all lines of business by collating, manipulating and analysing data relevant to individual accounts
Reserving
Support the quarterly reserving cycle including production of materials for discussion with stakeholders and wider reporting requirements
Capital and Portfolio Optimisation
Support running of the capital model, production of outputs for the annual capital setting process and portfolio considerations
Skills, Knowledge & Abilities
Flexible thinking; an ability to earn Actuarial models and approaches for a range of standard and specialised products, and to combine account, portfolio and external data sources.
Comfort in using data with an enthusiasm to undertake detailed data driven analysis and portfolio investigations
Ability to learn how to extract, manipulate, enhance and visualise a variety of data sets that can feed into analyses
This is expected to lead on to supporting future predictive analytics and machine learning projects.
Commercial-mindedness and the ability to develop business understanding including insurance financial statements and performance metrics
The ability to input into larger projects, including working to deadlines
Professionalism and thoroughness
Strong communication skills and the ability to work well with other disciplines
Education & Experience
A strong academic background including a technical degree such as Actuarial Science, Maths, Economics or Physics
Experience with data either through work or academic experience is preferable or a strong desire to develop the required techniques
Experience of predictive modelling or data science is highly desirable
A commitment to undertake the actuarial exams is required with the expectation of qualifying
Strong IT literacy – facility with MS Excel and databases are necessary, use of R, Python, XML, SQL, VBA or data visualisation tools would be a distinct advantag
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