Truist

Data Scientist III – Quantitative Data Engineer

Truist

full-time

Posted on:

Location Type: Office

Location: Charlotte • North Carolina • United States

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Tech Stack

HadoopNoSQLPythonSpark

About the role

  • Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
  • Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
  • Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives
  • Act as a resource for teammates with less experience
  • Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics) on structured and unstructured data
  • Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
  • Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences
  • Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners
  • Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value
  • Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices
  • Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices

Requirements

  • Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
  • Minimum of six years of related experience
  • Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation
  • In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization
  • Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
  • Experience in managing multiple projects with tight deadlines in a collaborative environment
Benefits
  • medical
  • dental
  • vision
  • life insurance
  • disability
  • accidental death and dismemberment
  • tax-preferred savings accounts
  • 401k plan
  • no less than 10 days of vacation
  • 10 sick days
  • paid holidays
  • specific benefits based on full-time or part-time status, position, and division
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical analyticspredictive analyticsmachine learning modelingdata mininginferential statistical analysisPythonRSASHadoopSpark
Soft Skills
consultationleadershipcommunicationproblem-solvingrelationship buildingjudgmentrisk managementmentoringcollaborationaccountability