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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

This role requires an independent thinker who can efficiently extract, analyze, and interpret complex data to identify fraud risks and drive actionable insights.
The ideal candidate brings a strong understanding of fraud typologies and investigative techniques, including link analysis, and has a proven ability to solve complex problems through creative, out-of-the-box thinking. This individual will be responsible for designing and implementing scalable, automated processes that enhance fraud detection and mitigation capabilities.
Success in this role requires the ability to translate complex data into clear, compelling narratives for senior leadership. The candidate must be comfortable “speaking to the data,” influencing decision-making, and recommending strategic solutions based on analytical findings.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time.  
1.    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.
2.    Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3.    Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4.    Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5.    Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 
6.    Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 
7.    Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities. 
8.    Exercise sound judgment and foster 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.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1.    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
2.    Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3.    Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowl