Regions Bank
Risk Data Scientist
At Regions, the Risk Data Scientist researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. The position at this level works with multiple teams of data scientists, analysts, and visualization experts contributing independently to solve business problems with high complexity and enable effective risk management. Additionally, the position at this level requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable 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 - 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 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 a variety of 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 May require 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 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. As these factors vary by individuals, pay will also vary among individual associates within the same job. Job Range Target: Minimum:
$70,620.55 USD Median:
$106,890.00 USD Incentive Pay Plans:
This job may participate in an annual discretionary bonus plan. Benefits Information Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. 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 Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. Location Details
Location:
Birmingham, Alabama Equal Opportunity Employer/including Disabled/Veterans
At Regions, the Risk Data Scientist researches, models, implements, and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. The position at this level works with multiple teams of data scientists, analysts, and visualization experts contributing independently to solve business problems with high complexity and enable effective risk management. Additionally, the position at this level requires in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable 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 - 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 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 a variety of 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 May require 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 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. As these factors vary by individuals, pay will also vary among individual associates within the same job. Job Range Target: Minimum:
$70,620.55 USD Median:
$106,890.00 USD Incentive Pay Plans:
This job may participate in an annual discretionary bonus plan. Benefits Information Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. 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 Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. Location Details
Location:
Birmingham, Alabama Equal Opportunity Employer/including Disabled/Veterans