TIAA Lead Data Scientist in CHARLOTTE, North Carolina
TIAA is a unique financial partner. With an award-winning track record for consistent performance, TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. TIAA has $1 trillion in assets under management (as of 9/30/2018) and offers a wide range of financial solutions, including investing, banking, advice and guidance, and retirement services.
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The Lead Data Scientist, Fraud Data Analytics within the Enterprise Financial Crimes Prevention organization will report into the Director, Senior Lead Data Manager for Threats & Analytics. This person will be responsible for identification, design, development, delivery and monitoring of analytic opportunities—leveraging existing and new data sources. The Data Scientist will leverage technology and advanced analytical methods to organize, analyze, evaluate and discover new insights. This individual will take ideas from inception to implementation and communicate results to all levels of management.
KEY RESPONSIBILITIES AND DUTIES:
Lead independent efforts for Fraud DataAnalytics, applying in-depth knowledge of multiple technologies
Leverage technology and advanced analyticalmodels to organize, analyze, evaluate and discover new insights from previouslyunknown relationships and patterns in both structured and unstructured data
Perform advanced analytical techniques,including:
Mix and time series modeling
Data visualization and presentation
Apply scientific techniques to validate outcomes
Present data from tested outcomes in order tosolve complex business problems and identify new business opportunities –including written and verbal presentations
Provide leadership, guidance and developtechnical capabilities across the Fraud Data Analytics team
Attend meetings as delegated for the Director,as needed
M.S. in a relevantfield, such as Applied Math, Statistics, Computer Science, Physics, Economics,Electrical Engineering, or Bioinformatics
5 or more years of experience with performingadvanced analytical techniques (i.e. Segmentation creation, Mix and time seriesmodeling, response modeling, lift modeling, data mining and optimizationtechniques, etc.)
5 or more years of experience working with datastructures and databases in structured & unstructured environments
5 or more years of experience using statistical analysispackages, such as SAS, R, RAT, SPSS, etc.
5 or more years of experience using datamanagement tools / relational databases (such as Oracle, Teradata, Hadoop,etc.)
PhDin a relevantfield
10 or more years of experience in a Lead Data Scientist or similar role
3 or more years of experience in the FinancialServices Industry
Experience with financial asset fraud
Analyzing business requirements as a guide todata modeling
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We are an Equal Opportunity/Affirmative Action Employer. We will consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.
- Requisition ID: 1719827
Field: Business Management & Operations
Post Date: 2 days ago
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