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Regions Bank

Risk Data Scientist

Regions Bank

. Research, model, implement, and validate predictive and prescriptive algorithms to analyze diverse data sources and achieve targeted outcomes .

Posted 9/17/2026full-timeRemote • Alabama • United StatesMid-LevelSenior💰 $73,528 - $115,260 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in predictive and prescriptive modeling, utilizing Big Data tools and machine learning techniques to analyze complex datasets and drive business solutions. Proficient in data visualization and effective communication with stakeholders to support informed decision-making.

Highest-signal resume keywords
Big Data TechnologiesMachine LearningStatistical ModelingData VisualizationSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Predictive ModelingPrescriptive ModelingStatistical AnalysisData MiningMachine Learning TechniquesClustering TechniquesClassification TechniquesProgramming in PythonProgramming in RAdvanced SQL
Soft Skills
Strong Communication SkillsBusiness AcumenCollaboration
Tools & Technologies
HadoopSparkPower BITableauTensorFlowPytorchH2OCDSWDomino LabsGoogle Analytics
Industry Keywords
Financial ServicesRisk ManagementAgile Software Development

Tech Stack

Tools & technologies
HadoopJavaKafkaKerasPythonPyTorchRubyScalaSparkSQLTableauTensorflow

About the role

Key responsibilities & impact
  • Research, model, implement, and validate predictive and prescriptive algorithms to analyze diverse data sources and achieve targeted outcomes
  • Work with multiple teams of data scientists, analysts, and visualization experts to solve complex business problems and enable effective risk management
  • Work with large, structured, and unstructured datasets
  • Use quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk
  • Use Big Data tools such as Hadoop, Spark, H2O, CDSW, and Domino Labs to build data analytics solutions
  • Build machine learning and artificial intelligence models through development, testing, and validation
  • Design rich data visualizations to communicate complex ideas to business leaders and executives
  • Communicate outcomes and proposed business solutions to senior Risk Data Scientists
  • Draw insights from data to support quick, well-informed decisions
  • Continuously learn and provide value in a dynamic environment
  • Manage all phases of the model lifecycle and ensure model documentation complies with model validation expectations

Requirements

What you’ll need
  • Bachelor's degree and four (4) years of related experience, or Master's degree and two (2) years of related experience, or Ph.D. and two (2) years of related experience in a quantitative/analytical/STEM field
  • One (1) year of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka
  • Two (2) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligence
  • Two (2) years of working programming experience analyzing large, complex, and multi-dimensional datasets using tools such as SAS, Python, Ruby, R, Matlab, Scala, or Java
  • Background in banking and/or other financial services preferred
  • Experience in Agile Software Development preferred
  • May require experience in libraries such as TensorFlow, Pytorch, or Keras
  • Knowledge in Google Analytics and/or Adobe Digital
  • Advanced Structured Query Language (SQL) skills
  • Comfort with relational databases and Hadoop-based data mining frameworks
  • Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
  • Expertise in analyzing large, complex, multi-dimensional datasets
  • Proficiency in visualization tools such as Power BI and Tableau
  • Strong business acumen and ability to communicate with business and IT leaders
  • Strong written, oral, and data-visualization communication skills

Benefits

Comp & perks
  • Annual discretionary bonus plan may apply
  • Paid Vacation/Sick Time
  • 401K with Company Match
  • Medical, Dental and Vision Benefits
  • Disability Benefits
  • Health Savings Account
  • Flexible Spending Account
  • Life Insurance
  • Parental Leave
  • Employee Assistance Program
  • Associate Volunteer Program