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About the Role

Perform sophisticated analytics, including statistical and predictive modeling, to provide actionable insights that improve business outcomes and minimize risk. Consult with business leaders and stakeholders on leveraging analytics insights and building strategies.

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.
• 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.
• 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.

Requirements

• 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
• 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

Skills

• Statistical methods
• Probability theory
• Econometrics
• Time-series analysis
• Statistical tests
• Linear algebra
• Calculus
• Differential equations
• Stochastic processes
• Data cleansing
• Data preparation
• Regex
• Filtering
• Indexing
• Interpolation
• Outlier treatment
• SQL
• JQuery
• Hadoop
• Pig
• Hive
• NoSQL
• Spark
• Python
• SAS
• R
• Machine learning modeling
• Natural language processing
• Data visualizations

Location

• United States of America

Work Type

• Regular
• 1st shift

Experience Level

• Four or more years of experience in a quantitative field

Education Level

• Bachelor’s degree
• Master’s degree
• PhD

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Disability
• Accidental death and dismemberment
• Tax-preferred savings accounts
• 401k plan
• 10 days of vacation
• 10 sick days
• Paid holidays
• Defined benefit pension plan
• Restricted stock units
• Deferred compensation plan

About the Company

• Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

Equal Opportunity

• EEO is the Law
• E-Verify
• IER Right to Work