Data Scientist – Deposit Fraud Strategy, New Grad
Jobright.ai
Orlando,
Florida,
United States
Financial Services
H-1B
Job posted on July 29, 2025
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Job Description:
Verified Job On Employer Career Site
Job Summary: TIH is seeking a strong fraud fighter with experience in Deposit fraud strategies and great analytical capabilities. The role involves performing sophisticated analytics and investigations into large dollar claims and fraud trends to provide actionable insights and improve business outcomes.
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 NoSQL, 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: TIH, the fifth largest insurance broker in the United States, offers highly consultative risk management services and nearly all types of coverage, including personal, small business, corporate, employee benefits, life and health, and title. Founded in 1922, the company is headquartered in Charlotte, North Carolina, USA, with a team of 5001-10000 employees. The company is currently Late Stage. TIH has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: TIH is seeking a strong fraud fighter with experience in Deposit fraud strategies and great analytical capabilities. The role involves performing sophisticated analytics and investigations into large dollar claims and fraud trends to provide actionable insights and improve business outcomes.
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 NoSQL, 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: TIH, the fifth largest insurance broker in the United States, offers highly consultative risk management services and nearly all types of coverage, including personal, small business, corporate, employee benefits, life and health, and title. Founded in 1922, the company is headquartered in Charlotte, North Carolina, USA, with a team of 5001-10000 employees. The company is currently Late Stage. TIH has a track record of offering H1B sponsorships.