Risk Data Scientist

About the Role

The Risk Data Scientist researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. This role works with multiple teams of data scientists, analysts, and visualization experts, contributing independently to solve complex business problems and enable effective risk management. The position requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills to drive data-driven decisions.

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) 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 models and associated documentation comply with model validation expectations

Requirements

• 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

Preferences

• 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

Skills and Competencies

• Advanced Structured Query Language (SQL) skills
• Comfortable with both 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
• Proficient in visualization tools like Power Business Intelligence (BI) and Tableau
• Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
• Strong communication skills through data visualizations as well as written and oral presentations

Pay

Pay ranges are job-specific and provided as a point-of-market reference for compensation decisions. The target pay range for this position is:

• Minimum: $73,528.40 USD
• Median: $115,260.00 USD

This job may participate in an annual discretionary bonus plan.

Benefits

Regions offers a flexible and comprehensive benefits package for benefits-eligible associates, including:

• 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

Schedule

This position is full-time and exempt from timekeeping requirements under the Fair Labor Standards Act. It is not eligible for overtime pay.

Location: Hoover, Alabama (Riverchase Complex North Building)