Data Scientist II – Risk Analytics, Governance & Execution

Truist

. Perform sophisticated data analytics using structured and unstructured data, ranging from classical econometrics to machine learning, neural networks, and natural language processing .

Posted 10/14/2026full-timeCharlotte • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, including machine learning, natural language processing, and econometrics, while effectively communicating insights through data visualizations. Proficient in Python, SAS, R, and SQL for developing predictive analytics applications and managing data governance.

Highest-signal resume keywords

Data AnalyticsMachine LearningPredictive AnalyticsPython ProgrammingData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsMachine LearningNatural Language ProcessingEconometricsStatistical MethodsData CleansingSQLHadoopR ProgrammingSAS Programming

Soft Skills

Stakeholder EngagementCollaborationProject Management

Tools & Technologies

Truist Internal Code RepositoriesHadoopSparkNoSQLJQuery

Industry Keywords

Data GovernanceRisk ManagementData ScienceQuantitative AnalysisData Visualization

Tech Stack

Tools & technologies

HadoopjQueryNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Perform sophisticated data analytics using structured and unstructured data, ranging from classical econometrics to machine learning, neural networks, and natural language processing
Produce data visualizations to communicate insights and influence stakeholder outcomes
Own end-to-end data science solution design, technical delivery, and measurable business outcomes
Engage with stakeholders to identify business objectives and scope solution requirements
Write, document, and deploy custom code in Python, SAS, R, and other environments to create predictive analytics applications
Use, maintain, share, and collaborate through Truist internal code repositories
Research and advocate adoption of emerging data science methods and technologies
Apply risk management practices throughout design, development, and deployment
Partner with cross-functional teams on data usage rules, data governance, and analytics capabilities
Collaborate with risk, data, technology, and business teams to develop scalable analytics, automation, and AI-enabled solutions

Requirements

What you’ll need

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
Understanding of statistical methods, including 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
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, including SQL and JQuery
Working knowledge of Hadoop, Pig, Hive, NoSQL, and Spark
Experience managing multiple projects with tight deadlines in a collaborative environment
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need
Minimal travel, up to 10%
English language fluency required

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401(k) plan
At least 10 days of vacation during the first year of employment, prorated based on date of hire and full-time or part-time status
10 sick days, prorated
Paid holidays
Defined benefit pension plan, depending on position and division
Restricted stock units, depending on position and division
Deferred compensation plan, depending on position and division