Data Scientist II- Fair Banking and Regulatory Programs

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency:  English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Fair Banking & Regulatory Programs (FBRP) is seeking talent with quantitative and analytical background to play a critical role in the risk management of Fair Banking regulations, with a focus on client fairness and discrimination testing. The Compliance Data Scientist II will serve as an independent and collaborative player of the FBRP Analytics team to test and assess compliance with ECOA, FHA, UDAAP, HMDA, and 1071 regulations. This role will serve as the data expert on corresponding coverage areas, the key liaison with Business Unit (BU) data teams, and a core stakeholder with model development team during development activities. The Compliance Data Scientist II will also perform sophisticated analytics and develop visualizations to provide actionable insights that improve business outcomes and minimize risk, as well as providing consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES 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.   1.    Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 2.    Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 3.    Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 4.    Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5.    Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.  6.    Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.  7.    Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.  8.    Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Required Qualifications: 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. 1.    Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2.    Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 3.