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Job Title: Consultants
Location: Various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL)
Job Type: Full Time

JOB DESCRIPTION:
Consultants for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Responsible for modeling and analytic projects, including designing, developing, implementing, and validating statistical models and segmentation strategies for credit card transactional/fraud risk management. Perform model development and data analysis, including data extraction, sampling, and statistical modeling using logistic regression, multiple regression, multivariate analysis, and discriminate analysis. Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders. Extract and analyze data, investigate data integrity, generate metrics, and perform ad hoc analysis. Partner with data engineers to validate and deploy solutions. Support clients in pre-sales analytics, solution business justification and deployment. Utilize current anti-fraud and risk solutions data to support client solution trials, proofs of concept, and value analysis. Technical environment: credit card risk and anti-fraud technologies, JIRA, Confluence, Tableau, Python, PostgreSQL, Amazon Redshift, AWS Production environment, Spoon, Automation, data extraction, data sampling, statistical modeling and Machine learning models (logistic regression, multiple regression, multivariate analysis, and discriminate analysis).


JOB REQUIREMENTS:
Master’s degree in Analytics, Statistics, Econometrics or related field plus 2 years of experience in Data Analytics required. Required skills: credit card risk and anti-fraud technologies, JIRA, Confluence, Tableau, Python, PostgreSQL, Amazon Redshift, AWS Production environment, Spoon, Automation, data extraction, data sampling, statistical modeling and Machine learning models (logistic regression, multiple regression, multivariate analysis, and discriminate analysis). 100% telecommuting permitted.


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