Risk Data Scientist

Thank you for your interest in a career at Regions. 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. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.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.Job Description: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 and mentors junior risk data scientists as well as independently contributes to solving complex business problems and enabling effective risk management. Additionally, the position at this level requires effective leadership and project management skills as well as in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable to drive data-driven decisions.Primary ResponsibilitiesMentors and guides junior risk data scientistsPlans and manages multiple concurrent projectsCarefully 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 companyWorks with large, structured, and un-structured datasetsUses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk- unlocking value across all functional areas of businessConducts research to evaluate the ongoing appropriateness of existing or proposed quantitative solutionsUses Big Data tools (e.g. Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutionsBuilds machine learning and Artificial Intelligence (AI) models from development through testing and validationDesigns rich data visualizations to communicate complex ideas to business leaders and executivesCommunicates outcomes and proposed business solutions to senior leaders and other constituencies, including external auditors and prudential regulatorsDraws insights from data to make quick, well informed decisions with available informationDemonstrates ability to continuously learn and provide value in a dynamic environmentWorks 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 processThis position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.RequirementsBachelor's degree and six (6) years of related experience in a quantitative/analytical/STEM fieldOr Master's degree and four (4) years of related experience in a quantitative/analytical/STEM fieldOr Ph.D. and four (4) years of related experience in a quantitative/analytical/STEM fieldTwo (2) years of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or KafkaThree (3) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligenceThree (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 JavaPreferencesBackground in banking and/or other financial servicesExperience in Agile Software DevelopmentMay require experience in libraries such as TensorFlow, Pytorch, or KerasKnowledge in Google Analytics and/or Adobe DigitalSkills and CompetenciesAdvanced Structure Query Language (SQL) skillsComfortable with both relational databases and Hadoop-based data mining frameworksDeep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithmsExpertise in analyzing large, complex, multi-dimensional datasetsProficient in visualization tools like Power Business Intelligencer (BI) and TableauStrong business acumen with the ability to communicate with both business and Information Technology (IT) leadersStrong leadership and project management skillsExperience with CI/CD environments (Snowflake, Harness, Artifactory, etc.) preferredAbility to orchestrate large data pipelines efficiently (Spark, Pyspark, Snowpark)Position TypeFull timeCompensation DetailsPay 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.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.Job Range Target:Minimum:$101,008.05 USDMedian:$145,720.00 USDIncentive Pay Plans:Benefits InformationRegions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.Paid Vacation/Sick Time401K with Company MatchMedical, Dental and Vision BenefitsDisability BenefitsHealth Savings AccountFlexible Spending AccountLife InsuranceParental LeaveEmployee Assistance ProgramAssociate Volunteer ProgramPlease note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.Location DetailsRiverchase Complex North BuildingLocation:Hoover, AlabamaEqual Opportunity Employer/including Disabled/VeteransJob 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.SummaryLocation: Hoover, AL - Riverchase North Building (Birmingham, AL); Charlotte, NC - Charlotte Uptown Branch; Remote; Atlanta, GA - Regions Plaza OfficeType: Full time