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About the Role
Regions is seeking a Risk Data Scientist to research, model, implement, and validate algorithms to analyze diverse data sources for targeted outcomes. This role involves collaborating with data science teams, mentoring junior scientists, and independently solving complex business problems to enable effective risk management. Strong leadership, project management, quantitative analytical methods, data management, visualization, and programming skills are essential for driving data-driven decisions.
Responsibilities
- Mentors and guides junior risk data scientists
- Plans and manages multiple concurrent projects
- Leverages data science, including advanced quantitative solutions, models, tools, and analysis to evaluate and provide solutions to complex business problems and effectively manage a wide spectrum of risks to the company
- Works with large, structured, and un-structured datasets
- Uses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk- unlocking value across all functional areas of business
- Conducts research to evaluate the ongoing appropriateness of existing or proposed quantitative solutions
- 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 leaders and other constituencies, including external auditors and prudential regulators
- 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
- Works on all phases of model lifecycle, including research, data collection, model development and variable selection, model implementation and testing, model documentation, and ongoing monitoring of model to ensure it is working as intended; shepherds the model through the model validation process
Requirements
- Bachelor's degree and six (6) years of related experience in a quantitative/analytical/STEM field
- Master's degree and four (4) years of related experience in a quantitative/analytical/STEM field
- Ph.D. and four (4) years of related experience in a quantitative/analytical/STEM field
- Two (2) years of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka
- Three (3) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligence
- Three (3) years of working programming experience analyzing large, complex, and multi-dimensional datasets using a variety of tools such as SAS, Python, Ruby, R, Matlab, Scala, or Java
- 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
- Advanced Structure 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 Intelligencer (BI) and Tableau
- Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
- Strong leadership and project management skills
- Experience with CI/CD environments (Snowflake, Harness, Artifactory, etc.) preferred
- Ability to orchestrate large data pipelines efficiently (Spark, Pyspark, Snowpark)
Location
- Hoover, Alabama
Work Type
- Full time
Experience Level
- Six (6) years of related experience in a quantitative/analytical/STEM field with a Bachelor's degree
- Four (4) years of related experience in a quantitative/analytical/STEM field with a Master's degree
- Four (4) years of related experience in a quantitative/analytical/STEM field with a Ph.D.
- Two (2) years of hands-on experience with Big Data technologies
- Three (3) years of working experience with statistical and predictive modeling concepts
- Three (3) years of working programming experience analyzing large, complex, and multi-dimensional datasets
Education Level
- Bachelor's degree
- Master's degree
- Ph.D.
Salary/Compensations
- Minimum: $101,008.05 USD
- Median: $145,720.00 USD
Benefits
- 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
About the Company
- 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.
- Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit.
- The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law.
- Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years.
- You may review, modify, or update your information by visiting and logging into the careers section of the system.
Equal Opportunity
- Equal Opportunity Employer/including Disabled/Veterans