Details:

Job Description and Responsibilities:

- Knowledgeable about different analytics methods / techniques, their advantages and disadvantages (e.g. machine learning technique selection based on multiple factors as data size, results accuracy etc.) and their purpose 

- Ability to work in the intersection of analytics, statistics and data pre-processing/management, also able to handle unstructured data 
- Basic to mid-level understanding of the insurance risk selection, underwriting practices, and experience in analysing the insurance portfolios is a plus 
- Hands on experience performing data mining tasks based on the cross industry standard process for data mining 
- Excellent command of spoken and written English 
- University degree (or equivalent) in quantitative field (e.g. Mathematics, Physics, Engineering or Information Technology) 
- Actuarial education is considered a plus 
- Basic understanding of reporting processes or experience in Finance is a plus 
Mandatory Tools : SAS and Python

Min. Qualification:

ug

Skills Required:

machine learning, predictive model, python, sas, sql, statistical modeling