Consultants

Consultants for Chicago, IL location. Develop and evaluate credit risk management analytic solutions for the Data Science and Analytics team. Develop predictive models and solutions, and provide descriptive, predictive, and prescriptive analysis. Leverage techniques including segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation and sensitivity analysis. Extract data and perform segmentation and statistical analysis on large population datasets. Perform data sampling, data cleaning and data preparation. Design analytic frameworks and make presentations to clients. Technical Environment: statistical modeling and data analysis in financial services, R, SAS, SQL, Hive, Python, C, C++, VBA, Netezza, HUE, feature engineering, data visualization; performing data sampling, data cleaning and preparation; Hadoop, Spark, Spark SQL, Command Line Interface, Predictive modelling, machine learning; Gurobi; linear and non-linear optimization. *Master’s degree in Operations Research, Industrial and Systems Engineering or related Quantitative field plus 2 years of experience in the job offered or in operations research required. Required Skills: statistical modeling and data analysis in financial services, R, SAS, SQL, Hive, Python, C, C++, VBA, HUE, feature engineering, data visualization; performing data sampling, data cleaning and preparation; Hadoop, Command Line Interface, Predictive modelling, machine learning; Gurobi; linear and non-linear optimization. 5% telecommuting permitted. (*Bachelor’s degree in Operations Research, Industrial and Systems Engineering or related Quantitative field plus 5 years of experience in job offered or in operations research also acceptable.) 

If interested, send resume to: R. Harvey, 555 W Adams St., Chicago, IL 60661