Interpreting data, analyzing results using statistical techniques and interpret trends or patterns in complex data sets.
Developing, describing, analyzing, and validating datasets
Verifying and correcting data using models, and reports
Implementing, upgrading, and help in developing data management and visualization tools by providing detailed specifications
Locate and define new process, improvement opportunities and quality improvement areas.
Presenting the findings, preparing technical reports, and making suitable recommendations.
Communicate quantitative and qualitative findings to the development team based on test results.
Ensure that the final product satisfies the product requirements and meet end-user expectations.
Researching and mining socio-economic and engineering information related to insured properties in different countries.
Research the current market for similar products and compare results.
Requirements:
Mandatory:
B. Tech./ M. Tech in any field or Postgraduate / PhD in fields including Data Analytics, Data Science, Applied Mathematics, Econometrics, and Statistics and 5+ years of experience
Strong data analysis and interpretation skills
Understand business needs and objectives
Develop strategies for effective data analysis and reporting
Oversee all analytics operations to ensure quality
Build processes to transform raw data into actionable business insights
Attention to detail
Strong knowledge of MS SQL should be able to write complex queries and should have strong analytical, database and data manipulation skills.
Knowledge of Excel and Python or R
Strong documentation skills with experience of working on MS Word, PowerPoint
Excellent written and verbal communication skills.
Self-driven, independent, detail oriented, innovative, quick learner, critical thinker, and a team player.
Preferable:
Knowledge of statistics and experience using statistical packages for analyzing datasets
Knowledge or experience in Property Insurance or Reinsurance sector
Experience in data mining, statistical modelling, or catastrophe modeling domain
Knowledge of ETL tools like SSIS
Knowledge of spatial data analytics
Employement Category:
Employement Type: Full time Industry: Recruitment Services Role Category: Risk / Underwriting Functional Area: Not Applicable Role/Responsibilies: Risk Management Solutions ( RMS )