Regions Bank
Overview
Risk Data Scientist at Regions Bank. This role researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. The position works with multiple teams of data scientists, analysts, and visualization experts to solve business problems with high complexity and enable effective risk management. Requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming to drive data-driven decisions. Primary Responsibilities
Works with large, structured, and unstructured 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, 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 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, classification, and artificial intelligence Two (2) years of working programming experience analyzing large, complex, and multi-dimensional datasets using SAS, Python, Ruby, R, Matlab, Scala, or Java Preferences
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 And Competencies
Advanced 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 BI and Tableau Strong business acumen with the ability to communicate with both business and IT leaders Strong communication skills through data visualizations as well as written and oral presentations Position Type
Full time Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Minimum Job Range Target:
$78,388.81 USD Median:
$118,647.90 USD Incentive Pay Plans:
This job may participate in an annual discretionary bonus plan. Benefits Information
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 Location Details
Regions Center Location: Birmingham, Alabama Equal Opportunity Employer/including Disabled/Veterans Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company. #J-18808-Ljbffr
Risk Data Scientist at Regions Bank. This role researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. The position works with multiple teams of data scientists, analysts, and visualization experts to solve business problems with high complexity and enable effective risk management. Requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming to drive data-driven decisions. Primary Responsibilities
Works with large, structured, and unstructured 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, 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 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, classification, and artificial intelligence Two (2) years of working programming experience analyzing large, complex, and multi-dimensional datasets using SAS, Python, Ruby, R, Matlab, Scala, or Java Preferences
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 And Competencies
Advanced 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 BI and Tableau Strong business acumen with the ability to communicate with both business and IT leaders Strong communication skills through data visualizations as well as written and oral presentations Position Type
Full time Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Minimum Job Range Target:
$78,388.81 USD Median:
$118,647.90 USD Incentive Pay Plans:
This job may participate in an annual discretionary bonus plan. Benefits Information
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 Location Details
Regions Center Location: Birmingham, Alabama Equal Opportunity Employer/including Disabled/Veterans Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company. #J-18808-Ljbffr