Data Risk Transaction Testing Specialist

Truist

. Support the execution of data risk and data quality assessments under established methodologies and guidance .

Posted 5/6/2026full-timeCharlotte • North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Support the execution of data risk and data quality assessments under established methodologies and guidance
Develop, execute, and maintain data testing scripts and procedures for assigned datasets and regulatory or management reports
Analyze data from source systems and downstream reports to assess accuracy, completeness, and conformance to defined business rules
Apply software development and analytical skills (e.g., Python, SAS, SQL, or object‑oriented programming) to query, validate, and test large data sets
Assist in developing end to end testing framework
Document test results, data exceptions, and validation outcomes in standardized templates and repositories
Communicate identified data issues to senior analysts, data stewards, or business partners with clear supporting evidence
Utilize data tools and platforms to perform testing, reconciliation, and analysis in accordance with defined procedures
Support updates to data quality reports, metrics, and dashboards
Assist with research and interpretation of internal data standards and applicable regulatory or reporting guidance
Participate in team reviews, walkthroughs, and knowledge‑sharing sessions to strengthen data testing practices
Follow established controls, documentation standards, and quality assurance practices

Requirements

What you’ll need

Bachelor’s degree in Business Administration, Information Systems or related field, or equivalent education and related training
Three to five years of banking experience with an emphasis on second line of defense efforts
Basic knowledge of balance sheet, income statement and cash flow information
Ability to understand business rules and data lineage, work with varying data formats, and develop metrics to monitor data quality
Previous experience in credit decisioning, managing credit risks, or portfolio management
Ability to work independently or as a member of a team
Ability to lead and direct team members in completion of complex projects
Excellent verbal and written communication skills
Strong analytical skills
Demonstrated proficiency in basic computer applications, such as Microsoft Office software products
Knowledge of relevant laws and regulations affecting data quality and governance
Ability to travel, occasionally overnight
Internship or early‑career experience in data quality, data engineering, analytics, audit, risk, or financial services technology (Preferred)
Familiarity with data concepts such as ETL processes, data flows, controls, and downstream reporting (Preferred)
Exposure to data tools or platforms such as SAS, SQL databases, Alteryx, Tableau, or similar analytics tools (Preferred)
Experience in Co-Pilot and Lovable preferred to build test platform prototypes (Preferred)
Basic understanding of regulatory or management reporting in a financial or regulated environment (Preferred)
Interest in developing a career in data risk, data governance, or data quality management (Preferred)

Benefits

Comp & perks

medical, dental, vision, life insurance
disability
accidental death and dismemberment
tax-preferred savings accounts
401k plan
no less than 10 days of vacation
10 sick days
paid holidays
defined benefit pension plan
restricted stock units
deferred compensation plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSASSQLobject-oriented programmingdata testing scriptsdata quality assessmentsdata analysisdata validationdata reconciliationdata metrics

Soft Skills

analytical skillscommunication skillsteamworkleadershipindependenceproblem-solvingattention to detailorganizational skillscollaborationknowledge sharing