Truist Payments Behavioral Data Scientist - location flexible in Charlotte, North Carolina
Req ID: R0039383
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Regular or Temporary:
Language Fluency: English (Required)
1st shift (United States of America)
Please review the following job description:
Use statistical analysis, predictive modeling, machine learning/artificial intelligence, data mining, and other analytic techniques to understand business behavior and identify trends within the Card & Direct to Consumer lending lines of business including Debit, Prepaid, Credit Card, Electronic Money Movement, Home Equity lending, unsecured lending, and other lending solutions. Develop, document, and deploy analyses, statistical modeling, and business intelligence to monitor quality, profitability, and growth of Truist's payments and lending solutions to improve client experience and return.
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Provide data-mining, modeling, and analytical support to Card & Direct to Consumer product lines and subject matter expertise on data analysis within each line.
Support Card & Direct to Consumer lending portfolio management strategy by compiling profitability, quality, and growth data with a focus towards key drivers, trends, risks, and opportunities. Report, measure, analyze, and build models to predict client behavior and financial performance based on business need and aligned to the business intelligence strategy.
Develop and maintain computer-based programs and models for advanced reporting, predictive models, automated identification programs, reporting dashboards, and financial and statistical analysis. Utilize SAS and Standard Query Language (SQL) programming to extract and mine data for Card & Direct to Consumer lending product lines analyses. Build complex data models using SAS, SAS Enterpriser Miner, and similar tools to analyze performance and predict future performance. Develop and maintain user-interface analysis packages presented in Tableau, Microstrategy, or other software applications. Develop analytical constructs and data required for balance, income and expense analysis.
Develop a strong understanding of data infrastructure, existing reporting system relationships and key business models related to Card & Direct to Consumer Lending.
Continuously broaden and deepen expertise in analytical methods via self-directed research and training.
Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings to diverse audiences.
Develop and support segmentation analysis to identify behavior changes and shifts focused on optimizing the portfolio through data-driven analytics. Monitor strategy tactics for performance efficacy, and present objective findings.
Work with teammates to identify areas of opportunities and revenue optimization, sift through multiple data sources, and develop a sound analytical framework to present results to business partners.
Provide analytic insight and support to external vendors using data analysis; represent Truist professionally with external partners.
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Bachelor's degree in a quantitative field (e.g. Statistics, Economics, Econometrics, Finance, Analytics, Mathematics, or Computer Science), or equivalent education and related training.
1-3 years of experience(4-7 years of experience for level II role) in financial services or related analytics field.
1-3 years of experience ( 4-7 years of experience for level II role) with PC-based modeling, neural networks and pattern recognition, financial analysis, advanced data mining (SAS/SQL), product analysis, and/ or statistical methodologies using tools such as SAS, SAS Enterprise Miner, Python, R, Matlab, etc.
Proficiency in a computer programming language, including strong programming skills in SAS with an emphasis on sound program design methodology. Ability to perform complex analyses and data-mining leveraging large datasets.
Basic knowledge of data visualization packages such as Tableau, QlikView, or Microstrategy.
Master's degree in a quantitative field (e.g. Statistics, Economics, Econometrics, Finance, Analytics, Mathematics, or Computer Science), or equivalent education and related training
Prior credit card experience
SAS programmer certification or similar
Tableau certification or similar
Truist supports a diverse workforce and is an Equal Opportunity Employer who does not discriminate against individuals on the basis of race, gender, color, religion, national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. Drug Free Workplace.
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