Senior Risk Data Scientist - ML, Big Data, Leadership

Regions Bank; Hoover (AL); On-site; USD 91,000 - 111,000; Full time

Benefits offered by this job

Paid Vacation/Sick Time

401K with Company Match

Medical, Dental and Vision Benefits

Parental Leave

Employee Assistance Program

Job summary

Regions Bank is seeking a Risk Data Scientist to research, model, implement, and validate predictive and prescriptive algorithms across diverse data sources. You will mentor junior scientists, manage multiple projects, and drive data-driven decisions while communicating strategies to senior leaders and regulators.

Responsibilities include building ML/AI models, working with Hadoop/Spark ecosystems, and delivering rich visualizations.

Qualifications

• Bachelor's degree or higher in a quantitative/analytical/STEM field with required experience.
• 6 years of quantitative/analytical/STEM experience for Bachelor's track.
• 4 years with Master's or PhD in quantitative/analytical/STEM field.
• 2 years of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka.
• 3 years of experience with statistical and predictive modeling concepts and AI.
• 3 years of programming experience with SAS, Python, R, Matlab, Scala, or Java.

Responsibilities

• Mentors and guides junior risk data scientists.
• Plans and manages multiple concurrent projects.
• Leverages data science and quantitative solutions to manage risk.
• Works with large structured and unstructured datasets.
• Builds data analytics solutions and ML/AI models from development to testing.
• Designs data visualizations to communicate with leaders.

Skills

SQL

Big Data

Machine learning

Data visualization

Leadership

Project management

CI/CD

Spark

PySpark

Communication

Education

Bachelor's degree

Master's degree

PhD

Tools

Hadoop

Hive

Impala

Spark

Kafka

SAS

Python

R

Java

Tableau

Power BI

Job description

Regions Bank is seeking a Risk Data Scientist to research, model, implement, and validate predictive and prescriptive algorithms across diverse data sources. You will mentor junior scientists, manage multiple projects, and drive data-driven decisions while communicating strategies to senior leaders and regulators.

Responsibilities include building ML/AI models, working with Hadoop/Spark ecosystems, and delivering rich visualizations.