Regulatory Data Assessment Analyst - Conformance

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Regular or Temporary:
Regular

Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)

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 (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

Research regulatory requirements (FFIEC 031, FR Y-9C, FR Y-14M/Q/A, FR 2052a) and develop test cases with clear pass/fail scenarios to test reporting logic and data for conformance with the requirements and identify data quality issues. Develop SQL and SAS queries to implement test cases, analyze results, and document findings in an audit-ready manner. The analyst collaborates with stakeholders to review results and communicate issues, support remediation, and contribute to continuous improvements and expansion of testing processes.

• 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.

• 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
• 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 No
  
  SQL, Spark
• Experience in managing multiple projects with tight deadlines in a collaborative environment

• Strong knowledge of regulatory reporting requirements, (FFIEC 031, FR Y-9C, FR Y-14M/Q/A, FR 2052a).
• Proficiency in SQL and SAS for data validation and test case execution.
• Experience in conformance or…