EXL Service - Claims Analytics Role - Optimization & Simulation Modeling - Insurance

We are currently looking for candidates with an experience of Optimization and Simulation modeling. The individual would be catering to one of the US Insurance major. 

Interested candidates can apply for the same basis the below JD:

Role & Responsibilities Overview:

- Research, analyze, and present data as assigned. 

- Develop detailed codes for data preparation and model scoring to be used in production. 

- Prepare detailed documentation of predictive models and make oral presentations to team lead. 

- Assist in learning and development of new team members. 

- Critically examine and deep dive into models. 

- Continuously formulate a business problem into an efficiently structured Optimization problem 

- Identify and participate in continuous improvement initiatives 

- Complete understanding of the current state of affairs and problem statement 

- In-depth data analysis like identifying major trends, univariate and bi-variate analysis. 

- Complete understanding of Python libs like Pandas, Numpy, Scipy, Sklearn, Statsmodels, etc. 

 - Capable to diagnose/QA Optimization model performance, identify improvement opportunity and develop heuristic / in house algorithm for solutions as needed, 

 - Involved in building time series type of forecast models and simulation models. 

- Manage team size of at least 3-4 members

Candidate Profile:

- PhD in Operations Research, Mathematics, Statistic, or Computer Science strongly preferred with 1+ years hands on experiences building optimization and/or simulation model to solve real-world optimization problem; Or MS with 3+ years professional experiences solving real-world optimization problem, preferably in insurance analytics 

- Solid knowledge in stochastic process, queuing theory, stochastic/robust optimization, assignment optimization, network optimization, capacity planning optimization, MILP; relevant professional experience preferred

- Leverage optimization (and simulation) models to support building Staffing and Assignment optimization models 

- Develop model deployment tool in python, model monitoring and ad hoc analysis as needed 

- Proficient in Python, and familiar with Optimization engines (CPLEX, GUROBI, or comparable) 

- Prior experience in managing and delivering on end to end projects

- Outstanding written and verbal communication skills 

- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges 

- Is able to understand cross cultural differences and can work with clients across the globe