Deposit Fraud Strategy - Data Scientist, New Grad

Deposit Fraud Strategy - Data Scientist, New Grad

Join to apply for the Deposit Fraud Strategy - Data Scientist, New Grad role at Jobright.ai

Deposit Fraud Strategy - Data Scientist, New Grad

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Join to apply for the Deposit Fraud Strategy - Data Scientist, New Grad role at Jobright.ai

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Job Summary:

Truist is seeking a Deposit Fraud Strategy - Data Scientist who will leverage strong analytical capabilities to investigate deposit fraud trends and provide actionable insights. The role involves performing sophisticated data analytics and collaborating with stakeholders to enhance fraud strategies and minimize risks.

Responsibilities:

• 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.

• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

• Engage in stakeholder meetings to identify business objectives and scope solution requirements.

• With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.

• Exercise sound judgment and fosters 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:

• 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 No

SQL, Spark

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

Preferred:

• Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

• Four years of relevant work experience if candidate lacks graduate degree

• Previous experience in the banking or fin-tech industry

Company:

Truist is the sixth-largest commercial bank in the U.S. Founded in 2019, headquartered in Charlotte, North Carolina, USA, team size 10001+ employees, currently Late Stage. Truist has a track record of offering H1B sponsor ships.

Seniority level

• Seniority level
  
  Entry level

Employment type

• Employment type
  
  Full-time

Job function

• Industries Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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