Senior Analyst II - Actuarial Life Valuation

Bangalore, Karnataka, India

Chubb

Chubb insurance products and services in Germany

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Major Duties and Responsibilities

Responsible for implementation of LDTI in one or more Asia Pacific markets. 

  1. Prepare and review  valuation reports according to the LDTI reporting.
  2.  
  3. Provide accurate and timely financial reports to management and stakeholders.
  4.  
  5. Aid in implementing internal control procedures to ensure accurate financial reporting.
  6.  
  7. Ensure the maintenance of documentation for each process and audit requirements including data, models, assumptions and analysis to support the delivery of high-quality financial results and analysis

Should have experience analyzing cash flows in Prophet models, or a similar Actuarial software, and reconciling with XL pricing models.

Create Valuation reporting and reconcile from Prophet runs.

Further details about the specific role shall be discussed during or after an initial discussion.

Qualifications, Skills and Credentials

Undergraduate/Post graduate degree in any analytical discipline such as Mathematics, Actuarial Science, Statistics, etc 

Strong data analytics capabilities, attention to detail and problem solving ability

Profound knowledge of LDTI/US GAAP.

Member of Actuarial Society(IAI/IFOA/SOA) with minimum 3 papers cleared (may differ based on hiring level)

Excellent oral and written communication skills

Effective interpersonal skills, ability to manage competing projects, meet deadlines

Proficiency in MS Excel and office applications

Porficiency in Prophet, or similar Actuarial software

Prior exposure or experience in some of the following tools/software shall be advantageous  - VBA, SAS, SQL, R, Python, Qlik. 

Experience

3-4 years relevant actuarial work experience in insurance industry, preferably Life Insurance. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data Analytics Excel Mathematics Python Qlik R SAS SQL Statistics

Region: Asia/Pacific
Country: India

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