Analytic Consulting, Consultant I - Predictive, Decision Modeling, Data Mining, Credit Scoring

September 16

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Predictive Analytics • Decision Management Tools and Applications • Scores • Consultancy • B2B Enterprise Software

1001 - 5000

Description

• Design and develop state-of-the-art, data-driven exploratory analysis as well as predictive and decision models to solve business problems across the financial services industry. • Build and evaluate predictive and decision models to be deployed in production systems, or for research. • This includes the analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria and performance definition, and variable selection, and experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ. • Set priorities and manage projects of small to medium scope; identify roadblocks and work to resolve them. • Review project variances against deliverables; negotiate necessary changes without committing to the impossible and engage in direct dialogue with client to achieve agreement on project outcomes. • Adapt to changing environments, resources, and project demands. • Establish appropriate model report format for communication with clients. • Participate in pre-sales support and/or provide post-implementation support, which may require travel. • Create, review, and deliver formal presentations of work to clients. • Participate in authoring white papers, proposals and publications.

Requirements

• BS degree in a statistics, engineering, mathematics, computer science, physics, operations research field (MS preferred). • Related experience (school project or industry) in predictive modeling and data mining is preferred with proficiency in analytic tools. • Experience analyzing data in order to draw conclusions about data integrity, accuracy, and general relationships. • Experience with facilitating and giving presentations. • Ability to anticipate, investigate and analyze database and data processing problems to pinpoint cause of problems and recommend possible solutions. • Ability to use object-oriented languages such as Java/C++ and/or scripting languages such as Python/Perl to manipulate data for purposes of model development is a plus. • Additional experience in R and/or SAS would be beneficial.

Benefits

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.