Director - Global Casualty Analytics - AIG - New York

Job description
• An analytic thought leader with excellent ability to partner with business units, operations, claims, technology and other analytics communities (both internal and external) to identify strategic opportunities in the application of advanced data analytics that drive profitability and operational efficiency.
• Lead data scientists to execute the identified business opportunities timely through data driven analytics and insights leveraging advanced analytic techniques;

• Ability to translate the complex business challenges into analytic questions & hypotheses, and design scientific solutions and synthesize insights
• Building scalable solutions that create great business impact
• Succinct and effective communication (both written and verbal) with colleagues and business leaders
• Effective team lead in recruiting, training, development and retention of analysts, both onsite and offsite (off-shore). • Strong background in one or more computational areas (Computer Science, Statistics, Economics, Physics, Computational Linguistics)
• Proven facility with multiple modeling techniques
• Exceptional programming skills in one or more platform
• The drive to deliver on commitments and an openness to new ideas
• Master's Degree with 12+ years of experience

In Addition, The Ideal Candidate Needs To Be Familiar With The Following Techniques And Tools, With An Expert-level Experience In Some

• Expertise in one or more modeling/machine learning platforms as such as R, SAS, and Python
• Experience with additional programming languages such as C++, Java, Matlab, Octave a plus
• Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
• Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees )
• Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modelling)
• Time-series Modelling/Forecasting (e.g., AR, ARMA, GARCH, Exponential Smoothing)
• Statistical Analysis (e.g., Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference)
• Familiarity with common computing environment (e.g. Linux, Shell Scripting)
• Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, NoSQL)
• Advanced skills in SQL

Enter your email address:

Refer This Job To Your Friends And Help Them To Find Jobs!