Job description

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Reporting to the Data & Analytics Team Lead, the Data Scientist is accountable for providing data analytics to Truist Wealth, with a focus on the full suite of products and client experience associated with Wealth Lending. While working with Sr. Data Scientist and the Data Scientist Team Leader the primary focus areas include portfolio and credit risk reporting, scenario, and strategic analysis, and ad-hoc Executive and Regulatory analytics. Other focus areas include marketing campaign response, loan pricing and profitability analysis, evaluating success of strategic initiatives, account acquisition and management, delinquency and default, overall portfolio asset quality, evaluation of cycle times, KPIs and other efficiency indicators in order to better enhance the advisor and client experience for lending.

Reporting to the Data & Analytics Team Lead, the Data Scientist is accountable for providing data analytics to Truist Wealth, with a focus on the full suite of products and client experience associated with Wealth Lending. While working with Sr. Data Scientist and the Data Scientist Team Leader the primary focus areas include portfolio and credit risk reporting, scenario, and strategic analysis, and ad-hoc Executive and Regulatory analytics. Other focus areas include marketing campaign response, loan pricing and profitability analysis, evaluating success of strategic initiatives, account acquisition and management, delinquency and default, overall portfolio asset quality, evaluation of cycle times, KPIs and other efficiency indicators in order to better enhance the advisor and client experience for lending.

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.

  • Collect and prepare data for reporting, analysis, and ad hoc request which encompasses [static reporting] to more advanced predictive and/or modeling analytics to identify data relationships, patterns, and trends
  • Partner with key stakeholders across the enterprise to help provide data & analytics for key initiatives
  • Translate business opportunities into data science problems by defining project scope and performance metrics to measure success
  • Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) utilizing internal and external data
  • Work with Sr. Data Scientist and Data Scientist Team Leader to identify actionable insights that measurably improve business outcomes or reduces business risk through complex analysis that results in successfully presenting findings to key stakeholder
  • Work with Sr. Data Scientist and Data Scientist Team Leader to story tell with data by creating clear, concise, and relevant presentations that leverage data visualization tools to highlight and communicate opportunity to business stakeholders
  • Collaborate and partner with teammates in Wealth Data and Analytics, EDO, Technology, and other business specific D&A teams to build best in class approaches to solve business and analytical problems, share best practices, and cross pollinate data knowledge

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 related Mathematics, Statistics, Econometrics, Actuarial Science, Computer science, Engineering, Finance or a Bachelor’s degree with accredited data & analytics certifications and/or demonstrated commitment to the data and analytics career path through coursework
  • 3-5 years of relevant financial services, data & analytics experience, and experience developing statistics and machine learning models
  • Strong verbal and written communication skills. Ability to communicate technical details at a level appropriate for the audience
  • Attention to detail and a sense of ownership for deliverables
  • Ability to perform and deliver under very demanding and/or ambiguous situations
  • Moderate reporting and automation experience leveraging BI and analytics applications
  • Demonstrated problem solving skills and proven ability to perform and deliver under very demanding and/or ambiguous situations Demonstrated technical proficiency in one or more of the following languages SAS (base, enterprise guide or enterprise miner) and/or R/Python while working on projects to Probability and Statistics, Finance (financial ratios, interest rates, yield curve), or data mining
  • Hands-on experience working with large databases and deep understanding of one or many of the following: Decision trees, Linear and Nonlinear regressions, neural nets, ensembles, Market Basket analysis, Time series forecasting, deep learning, text mining and various model assessment & performance metrics

Preferred Qualifications:

Master’s degree in business and/or a quantitative field related Mathematics, Statistics, Econometrics, Actuarial Science, Computer science, or Engineering Experience with big data technology (Hadoop, Hive, Spark, etc.) and data processing pipeline. Background within Wealth Management and familiarity with core lending systems, such as Shaw, AFS Vision and nCino.

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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