Truist is looking to leverage sophisticated data analytics to improve business outcomes and minimize risk, specifically in supporting Account Takeover (ATO) and Specialty Fraud Strategies.
Requirements
- 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
- Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
- Produce and monitor KRI (key risk indicators) and be able to articulate fraud trends
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.
- Independently 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.
- Using data analytics, identify fraud trends and build strategic rules to generate operational alerts to review
Other
- English (Required)
- Engage in stakeholder meetings to identify business objectives and scope solution requirements.
- 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.
- Experience in managing multiple projects with tight deadlines in a collaborative environment
- Minimal and up to 10% travel
