Truist

Data Scientist III – Fraud Client Experience

Truist

full-time

Posted on:

Location Type: Office

Location: Charlotte • North Carolina • Virginia • United States

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Tech Stack

HadoopNoSQLPythonSpark

About the role

  • Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics) on structured and unstructured data
  • Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk
  • 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 foster 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
  • Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices
  • Actively research and advocate adoption of emerging methods and technologies in the data science field

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
  • 10 days of vacation
  • 10 sick days
  • Paid holidays
  • Defined benefit pension plan (depending on position)
  • Restricted stock units (depending on position)
  • Deferred compensation plan (depending on position)
Applicant Tracking System Keywords

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

Hard Skills & Tools
data analyticsdata mininginferential statistical analysispredictive analyticsmachine learningmodel developmentbusiness information visualizationprogrammingstatisticsquantitative risk management
Soft Skills
accountabilityownershipcommunicationanalytical consultingthought leadershiprelationship buildingjudgmentrisk managementcollaborationproblem solving