Regular or Temporary:Regular
Language Fluency: English (Required)
Work Shift:1st shift (United States of America)
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.
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. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. Engage in stakeholder meetings to identify business objectives and scope solution requirements. With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities. Exercise sound judgment and fosters 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.
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 and zero to 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 Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) Experience in managing multiple projects with tight deadlines in a collaborative environment
Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering Four years of relevant work experience if candidate lacks graduate degree Previous experience in the banking or fin-tech industry
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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