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About the Role
Perform sophisticated analytics, develop scalable data capabilities, and translate business requirements into data products and solutions to identify risk, improve efficiency, and support decision-making. Partner with leaders to establish standards for data quality and governance, while expanding data literacy across Truist Audit Services.
Responsibilities
- 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.
- 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 Truist’s 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.
Requirements
- 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
- Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
- Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
- 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.)
- Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
- 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, with specific experience in Internal Audit Services
- Experience with the Microsoft Power Platform including Power BI, Power Automate, Copilot, and Fabric
- Experience with data visualization tools such as Tableau, Domo, Qlik, and/or Power BI
- Experience building semantic models and knowledge graphs to enable AI and Agents on structured and unstructured data
- Experience with automation tools such as Power Automate, Alteryx, UI Path
- Familiar with Process understanding and Optimization
Skills
- Statistical analytics
- Predictive analytics
- Machine learning modeling
- Data visualization
- Data science
- Python
- SAS
- SQL
- R
- Hadoop
- Pig
- Hive
- NoSQL
- Spark
- Microsoft Power Platform
- Power BI
- Power Automate
- Copilot
- Fabric
- Tableau
- Domo
- Qlik
- Alteryx
- UI Path
Location
- United States of America
Work Type
- Regular
- 1st shift
- Onsite (5 days/week)
Experience Level
- Four or more years of experience in a quantitative field
Education Level
- Bachelor’s degree
- Master’s degree or PhD (preferred)
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Disability
- Accidental death and dismemberment
- Tax-preferred savings accounts
- 401k plan
- 10 days of vacation
- 10 sick days
- Paid holidays
- Defined benefit pension plan (potential)
- Restricted stock units (potential)
- Deferred compensation plan (potential)
About the Company
- Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
Equal Opportunity
- EEO is the Law
- IER Right to Work