Note: The job is a remote job and is open to candidates in USA. Regions is seeking a Risk Data Scientist to support data-driven risk management. The role researches, models, implements, and validates predictive and prescriptive algorithms, works with large datasets and Big Data tools, develops machine learning and AI models, and communicates insights through data visualizations.
Responsibilities
- 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
- 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
Skills
- * 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 a variety of tools such as SAS, Python, Ruby, R, Matlab, Scala, or Java
- * 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
- * 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
Benefits
- Annual discretionary bonus plan; this job may participate in it
- 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
Company Overview
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