Regular or Temporary: Regular
Language Fluency: English (Required)
Work Shift: 1st shift (United States of America)
Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business Develop scalable data, analytics, visualization, automation, and AI capabilities that enable self-service insights and enhance audit delivery and operations. Gather and translate business and data requirements into trusted data products, dashboards, automated reporting, advanced analytics, machine learning, and AI-enabled solutions that identify risk, improve efficiency, and support better decision-making.
Partner with audit leaders and technology teams to establish sustainable standards and solutions for data quality, accessibility, governance, and reuse, while providing analytical leadership, consultation, and mentorship that expands data literacy and adoption across Truist Audit Services.
This position requires 5 days/week in office expectation.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position. This includes, but is not limited to: H-1B F-1 OPT F-1 STEM OPT F-1 CPT J-1 TN-1 TN-2 E-3 O-1 Future sponsorship for U.S. lawful permanent residence status
ESSENTIAL DUTIES AND RESPONSIBILITIESIndependently 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.Independently write, document, and deploy custom code in a variety of environments (Python, SAS, SQL, 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 Truists capabilities.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.QUALIFICATIONSBachelors 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 trainingExhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical testsFamiliarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processesDemonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatmentStrong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)Working knowledge of Hadoop, Pig, Hive, and/or No
SQL, SparkExperience in managing multiple projects with tight deadlines in a collaborative environmentPreferred…