· Designs and implements big data use cases to support the business initiatives and programs.
· Partner with Risk Departement teams in understanding the product, channel, segment and custom build statistical solutions with speed to market risk.
· Capitalize structured /unstructured data and data science technique to develop big data use cases in multiple areas.
· Track the business’s performance against model and monitor trends in key business KPIs, providing valuable insights.
· Solid critical thinking and analytical skills to work well with numbers and complex data
· Have exposure or working experience with Big Data platform (i.e: R language, Hadoop, etc), inclusive of machine learning, experimental design, and optimization.
· Proven expertise in hands on development of propensity models, market using logistic regression and multi-variate regression.
· Proficient in using econometric techniques for statistical modeling and experience in varied statistical methods on structured data, such as clustering, decision trees. etc.
· Modeling experience preferably in SAS / HUE / R / Phyton, Strong knowledge and experience of analytic tools i.e. SAS/SQL.
· Experience for handling and analyzing big amount of data for better information and insights.
· Proficiency English as business language.
· Proficiency in Microsoft Office applications i.e. Excel, Ms Word.
· Good communication skills i.e. presentation and influencing skills.
· Strong ability to build partnerships across functional teams through collaboration.
· Ability to lead a highly productive team and strive for excellence.
· Medical / Health Insurance.