Fraud Data Scientist II

Regular, full-time position. English fluency required. 1st shift (United States of America). Truist will not sponsor work visas or provide immigration-related support for this role.

Responsibilities

• Perform sophisticated data analytics—including statistical analysis, predictive modeling, machine learning, neural networks, and natural language processing—using both structured and unstructured data.
• Create compelling data visualizations to communicate insights and influence business decisions across a wide range of stakeholders.
• Own end-to-end data science solutions: design, technical delivery, and measurable business outcomes.
• Engage with stakeholders to define business objectives and scope solution requirements.
• Write, document, and deploy custom code in Python, SAS, R, and other environments to build predictive analytics applications.
• Maintain, share, and collaborate on code via Truist’s internal repositories to foster learning and skill-sharing.
• Research and advocate for emerging data science methods and technologies to advance Truist’s capabilities.
• Exercise sound judgment and promote a risk-aware culture in design, development, and deployment; partner with cross-functional teams on data governance and usage policies.

Requirements

• Bachelor’s degree in a quantitative field (Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering) and four or more years of relevant experience, or equivalent education and training.
• Strong understanding of statistical methods: classical statistics, probability theory, econometrics, time-series analysis, and primary statistical tests.
• Familiarity with linear algebra concepts: optimization, matrix operations, eigenvalue decompositions, and principal component analysis; working knowledge of calculus, differential equations, and stochastic processes.
• Proficiency in data cleansing and preparation: regex, filtering, indexing, interpolation, and outlier treatment.
• Experience extracting data in SQL, JQuery, and other environments.
• Working knowledge of Hadoop, Pig, Hive, NoSQL, and/or Spark.
• Ability to manage multiple projects with tight deadlines in a collaborative setting.

Preferred Qualifications

• Master’s degree or PhD in a quantitative field (Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering).
• Four years of relevant work experience if no graduate degree.
• Prior experience in banking or fin-tech industries.

Other Job Requirements

• Primarily sedentary role (sitting more than 50% of the time).
• Ability to access and interpret client information on a computer; hear and speak with individuals in person and by phone.
• Manual dexterity for standard office equipment (keyboard, mouse, copier/fax, printer).
• Availability to work scheduled hours, including overtime as needed.
• Minimal travel (up to 10%).

Benefits

• Medical, dental, and vision insurance.
• Life insurance, disability, and accidental death and dismemberment coverage.
• Tax-preferred savings accounts (e.g., HSA, FSA).
• 401(k) retirement plan.
• At least 10 days of vacation (prorated based on hire date and full-time/part-time status) in the first year, plus 10 sick days and paid holidays.
• Eligibility for defined benefit pension plan, restricted stock units, and/or deferred compensation plan, depending on position and division.