Truist is a financial services company seeking a Regulatory Data Assessment Analyst to research regulatory requirements and develop test cases for data conformance. The role involves performing data analytics, producing visualizations, and collaborating with stakeholders to enhance testing processes.
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
- 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