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5.0 - 10.0 years

15 - 20 Lacs

hyderabad, mumbai (all areas)

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Corporate Sales Employee Benefits About the Role We are seeking an experienced and dynamic professional to drive Corporate Sales of Employee Benefit Insurance solutions (Group Health, Group Term Life, Group Personal Accident, Wellness Programs, etc.). The ideal candidate will have a strong background in B2B sales, insurance broking, and client relationship management, with proven success in acquiring and retaining corporate clients. Key Responsibilities Identify and acquire new corporate clients for Employee Benefit Insurance products. Develop and execute strategies to achieve sales targets and business growth. Build strong relationships with HR, Finance, and Procurement decision-makers in corporate organizations. Conduct needs analysis to provide customized employee benefit insurance solutions. Stay updated on market trends, regulatory changes, and competitor offerings in the Employee Benefits domain. Prepare regular reports, pipeline updates, and MIS for management review. Key Requirements Graduate / Postgraduate in Business, Finance, or related field. Minimum 4+ years of experience in Corporate Sales, preferably in insurance broking or Insurance. Strong knowledge of Employee Benefits insurance products (Group Health, Term Life, Accident, Wellness). Established network and ability to engage with CXOs/HR Heads/Finance Leaders. Excellent communication, presentation, and negotiation skills. Proven track record of achieving or exceeding sales targets. Strong client relationship management and problem-solving abilities.

Posted 1 week ago

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3.0 - 6.0 years

15 - 19 Lacs

noida, pune, bengaluru

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Life Insurance IFRS (International Financial Reporting Standards) Specialist key responsibilities Estimate actuarial liability for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyse the historical claims data, identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Understanding the forecast, payment patters, yield curves, risk adjustments, claims, premiums, expenses, tax and other parameters used as a part of the establishing the Balance sheet position and Profit/Loss statement as a part of IFRS17 regulatory requirement Liability of Incurred Claims (LIC) and Liability of Remaining Coverage (LRC) calculations using the PAA or GMM approach PAA Eligibility testing to finalise the methodology for calculating the liability for the group of contracts Onerous testing to identify the onerousness for estimating the Loss Component (LC) Calculating the LC and Contractual Service Margin (CSM) release over the period of the contract IFRS17 (or Solvency II) Actuarial Liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results to relevant teams Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter experience Knowledge of Aptitude (IFRS17 Financial reporting tool), ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. To qualify for the role, you must have Good experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, IFRS17 and Solvency II technical provision) Ability to multi-task and flexible work attitude packed with good analytical skills Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus

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