Data Scientist I - Card Fraud Analytics - Atlanta, GA

Truist•Atlanta, GA

3d•Onsite

About The Position

The Data Scientist I - Card Fraud Analytics position involves performing sophisticated analytics, including statistical and predictive modeling, and machine learning to provide actionable insights that improve business outcomes and minimize risk. This role also includes consulting with business leaders and stakeholders on leveraging analytics insights and building strategies around analytics. The position requires independent performance of advanced data analytics using structured and unstructured data, creation of compelling data visualizations, and end-to-end ownership of data science solution design, technical delivery, and business outcomes. The role involves engaging in stakeholder meetings to define business objectives, writing and deploying custom code for predictive analytics applications, collaborating through internal code repositories, and researching/advocating for emerging data science methods and technologies. A strong emphasis is placed on exercising sound judgment, fostering a risk management culture, and partnering with cross-functional teams on data governance and analytics capabilities.

Requirements

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

Nice To Haves

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

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.