Risk Data Scientist

Company: Regions Financial Corporation
Location: Charlotte
Posted on: May 14, 2025

Job Description:

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career - a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
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Job Description:
At Regions, the Risk Data Scientist researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes.
The position at this level works with multiple teams of data scientists, analysts, and visualization experts contributing independently to solve business problems with high complexity and enable effective risk management. Additionally, the position requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable to drive data-driven decisions.
Primary Responsibilities

• Works with large, structured, and unstructured datasets
  
• Uses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk - unlocking value across all functional areas of business
  
• Uses Big Data tools (e.g., Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutions
  
• Builds machine learning and Artificial Intelligence (AI) models from development through testing and validation
  
• Designs rich data visualizations to communicate complex ideas to business leaders and executives
  
• Communicates outcomes and proposed business solutions to senior Risk Data Scientists
  
• Draws insights from data to make quick, well-informed decisions with available information
  
• Demonstrates ability to continuously learn and provide value in a dynamic environment
  
• Understands all phases of the model lifecycle, ensuring that models and associated documentation comply with model validation expectations
  
  This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
  Requirements
  
  
• Bachelor's degree and six (6) years of related experience
  
• Or Master's degree and four (4) 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, R, Matlab, Scala, or Java
  
  Preferences
  
  
• Background in banking and/or other financial services
  
• Experience in Agile Software Development
  
• May require experience in libraries such as TensorFlow, Pytorch, or Keras
  
• Knowledge in Google Analytics and/or Adobe Digital
  
  Skills and Competencies
  
  
• Advanced SQL skills
  
• Comfortable with relational databases and Hadoop-based data mining frameworks
  
• Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering, classification, and optimization algorithms
  
• Expertise in analyzing large, complex, multi-dimensional datasets
  
• Proficient in visualization tools like Power BI and Tableau
  
• Strong business acumen with the ability to communicate with business and IT leaders
  
• Strong communication skills through data visualizations and presentations
  
  Position Type
  Full time
  Compensation Details
  Pay ranges are based on market data and factors such as experience, skills, contribution, location, and performance. The target salary for this role is:
  

• 
  
• Minimum: $113,021.87 USD
  
• Median: $158,829.90 USD
  
  Incentive pay plans are also available. Benefits include paid vacation, 401K with company match, health insurance, disability benefits, HSA, FSA, life insurance, parental leave, employee assistance, and volunteer programs. Benefits are subject to change.
  Location Details
  Regions Center, Birmingham, Alabama
  Equal Opportunity Employer
  Regions is an equal opportunity employer, including disabled and veterans.
  Applications are accepted electronically for at least five business days. Positions with high volume may remain open longer.
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Keywords: Regions Financial Corporation, High Point , Risk Data Scientist, Other , Charlotte, North Carolina