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Truist · 2 months ago

Regulatory Data Assessment Analyst - Conformance.

Richmond, VA

Full-time

Onsite

New Grad, Entry, Mid Level

0+ years exp

Truist Bank is seeking a Regulatory Data Assessment Analyst - Conformance to ensure compliance with various regulatory requirements. The role involves researching regulations, developing test cases, analyzing results, and collaborating with stakeholders to enhance testing processes.

BankingFinanceFinancial Services

No H1B

Responsibilities

Research and interpret regulatory requirements and instructions to inform testing activities

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, analyzes results, and documents findings in an audit-ready manner

Engage with stakeholders to review results and communicate findings

Contribute to process improvements to enhance testing accuracy, consistency, and efficiency

Analyze and interpret test results, identify issues, and escalate findings as appropriate

Document results and observations in a clear, detailed, and audit-ready manner

Qualification

Regulatory ReportingSQLSASData AnalysisConformance TestingStatistical MethodsData CleansingStakeholder CollaborationAnalytical SkillsEffective Communication

Required

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 NoSQL, Spark

Experience in managing multiple projects with tight deadlines in a collaborative environment