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发帖数: 1051 | 1 Our client is seeking qualified applicants for the role of Research
Statistician in its Predictive Analytics team. They have been distinguished
by Fortune Magazine as one of the world's most admired companies for 2013.
This position is part of the a department, whose mission is to extend
knowledge, derive insights, and support a strategic framework to promote
innovation, balanced decision-making, and coordinated action across the
corporation. In this role you will be developing, interpreting and
implementing financial services statistical models as well as creating
analytical solutions using the latest statistical and data science
techniques for business problems in the credit card business. Contact me for
a confidential conversation. All referrals are appreciated and earn you $
1000.00 each when hired. ??? Responsibilities: Engage in the development,
interpretation, implementation and support of different types of statistical
models. Consult with clients on the use of mathematical statistics,
assessing modeling needs and defining project scope. Apply programming
skills to make use of computer intensive analysis techniques. Use knowledge
of credit card business to address a range of real-world issues and to solve
business problems. Independently extracts and transforms data for use in
analysis. Work with increasing autonomy on requests/projects of complex
statistical/business/research issues. Consult on financial services and
insurance-related business, regulatory and public policy issues. ???
Knowledge/Experience and Skills Required: Academic background in
quantitative disciplines and methodologies such as applied and computational
statistics, text and data mining, artificial intelligence, econometrics,
operations research, psychometrics, experimental design, multivariate
analysis, measurement theory, multidimensional scaling, combinatorial data
analysis, hierarchical linear models, structural equation models, decision
theory, time series analysis and cluster analysis at a level acquired
through post-graduate education. Experience in creating and applying
statistical modeling and analysis in one or more of the following areas
preferred: - Decisioning models for life cycle of credit card lending,
deposits and collections. - Design of Experiments - Optimization - Text
Mining - Model Independent Review - Consumer Propensity to Buy and Best
Messaging
Knowledge of and experience with at least one major computer programming
language or advanced syntax in a major statistical package. (SAS preferred.)
Experience using FCRA-governed consumer data sources desired (credit
reports, CLUE etc.). Your ongoing professional development is encouraged
through a variety of assignments, pertinent conferences and advanced
training. ??? Mary Parker Managing Partner WPS, Inc.??? Office: 773-205-6308
Cell: 312-498-1674 m**[email protected] |
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