Risk Data Scientist

Regions Financial - Hoover, AL

Full-time - Mid Level

Remote - Hoover, AL

Credit Intermediation and Related Activities

About the position

The Risk Data Scientist at Regions is responsible for researching, modeling, implementing, and validating algorithms to analyze diverse data sources for effective risk management. This role involves collaboration with teams of data scientists and analysts to solve complex business problems and drive data-driven decisions. The position requires strong quantitative analytical skills, data management expertise, and proficiency in programming and visualization techniques.

Responsibilities

• Works with large, structured, and un-structured datasets
• Uses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk
• Uses Big Data tools (e.g. Hadoop, Spark, H2O, CDSW, Domino Labs) 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
• Understands all phases of the model lifecycle, ensuring compliance with model validation expectations

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, Ruby, R, Matlab, Scala, or Java

Nice-to-haves

• Background in banking and/or other financial services
• Experience in Agile Software Development
• Experience in libraries such as TensorFlow, Pytorch, or Keras
• Knowledge in Google Analytics and/or Adobe Digital

Benefits

• Hybrid work schedule with a combination of in-office and remote work
• Inclusive work environment that values diversity and promotes individual uniqueness