Jobs Openings

• Extensive experience in the Life Insurance domain, with a focus on Solvency II, Economic Capital, and IFRS 17.
• Experience in core insurance organizations or consultancies is preferred. Relevant experience from offshoring centers will also be considered.
• Fellowship in Actuarial Science from India (IAI) or UK (IFoA), or at least 10 actuarial exams clearedfrom IAI or IFoA.
• Understanding of actuarial tools such as Prophet, MoSes, or AXIS would be an advantage but is not mandatory.
• Excellent communication and problem-solving skills.
• This is a hybrid role, offering flexibility to work remotely while requiring in-person visits to clients' locations once a month.

• ICAAP and stress testing
• Credit risk modelling
• Model risk management
• ALM and Behavioral modelling
• Actuarial modelling

• Hiring professionals with various backgrounds such as Actuarial, FRM, CFA etc.
• Have relevant experience or knowledge in either of the areas mentioned above.

• Minimum 2 actuarial papers cleared
• Graduate/post-graduate with 2 to 3 years of experience in P&C insurance.
• Proficiency in Microsoft Excel, including the ability to work with large datasets, perform basic calculations.
• Strong analytical skills with the ability to interpret data and draw meaningful insights.
• Direct or indirect team management experience is a plus.
• Familiarity with programming languages such as Python, SQL and R is a plus.
• Excellent communication skills, both written and verbal to effectively convey complex information.
• Ability to work collaboratively in a team environment and adapt to changing priorities.
• Eagerness to learn and develop new skills in the field of Actuarial Science and General Insurance.
• Ability to plan work effectively to prioritize tasks and meet deadlines.
• A student member of any of the actuarial institutes but not limited to IAI/IFoA/CAS

Requirements :

1. 1 paper cleared as per new curriculum
2. Graduate

• For freshers 0-5 years of experience for experienced 3-8 years of experience
• Prior experience of retail health/group health is a positive.
• Excel, VBA, SQL skills are preferable

• Graduation in any stream. Should be a member of the Actuarial profession (enrolled to complete actuarial studies at least)’
• Should have successfully cleared at least 1 actuarial paper and/or relevant degree in Actuarial Science
• Should have a basic understanding of pension benefits and should be able to differentiate between DB and DC schemes (knowledge of UK employee benefits would be an added advantage)
• Strong quantitative and analytical skills with the ability to translate data into meaningful insights
• Ability to question the objective of an exercise and prod away diligently/incrementally whenever ideas occur
• Good communication and interpersonal skills.
• Adaptive to organisational culture and business environment and Good Team Player

• reserving for all LoBs
• Regulatory work
• Product pricing and motor TP portfolio (analytics and modelling)

• minimum 2 years experience in General insurance

• We want an Actuarial pursuant with very good hold on programming languages – Python/ R and SQL, Excel.
• Completed at least 2 Actuarial exams
• 2- 5 yrs of experience

• Completed at least 3 Actuarial exams (according to new curriculum)
• Hands-on experience in BI tools –Qlik Sense & Tableau and Power BI (Good to have) and Analytics tools R/Python/VBA & techniques to build Model, Validate and implement.
• Detailed knowledge of actuarial pricing techniques.
• 2- 5 yrs of experience

• Domain experience in UK Pension
• Knowledge and understanding of benefit calculations
• Good communication and interpersonal skills
• 2.5 yrs- 6 yrs of experience.
• Completed at least 2 Actuarial exams (according to new curriculum)

• Bachelors in a quantitative field/Bachelor of Science (e.g., Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, Data Science, etc.)
• 0 – 2 years of professional work experience in a data analyst or technical actuarial role.
• Freshers and final year students are eligible to apply for this position.
• Pursuing Actuarial science qualification from any recognized institute (e.g., IFoA, IAI, SOA)
• Experience with common data analysis tools (e.g., Python, R, SQL)

• Experience in Prophet modelling / IFRS 17 preferred

• CM1 mandatory
• 2 papers should be cleared
• Power BI skill preferred

• 7-10 years of experience in life insurance