Job Description

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 Model and Data Science Manager guides a team of data scientists and analysts within the second line of risk that focuses on answering deep-lying questions and uncovering new opportunities for risk mitigation. This team leverages leading analytic practices to design and build new, creative, high impact analytic solutions Additionally, this team researches, designs, implements and validates algorithms to analyze diverse sources of data to achieve targeted outcomes. This position is considered a subject matter expert and utilizes extensive experience and technical knowledge to manage complex tasks and projects. **Primary Responsibilities** + Manages a wide array of data scientists and analysts with varying experience and technical skill levels + Works with business leaders to identify high impact opportunities + Manages projects to timely conclusion + Communicates findings to diverse audiences + Works with Information Technology (IT) teams to access, explore and condition data, and implement and validate analytic solutions + Develops and deploys solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics + Exercises ownership of the model development process and relationship with the business: from conceptualization through data exploration, model selection, implementation, testing, model documentation, and ongoing monitoring as well as business user training and support + Embraces the company's approach to model validation, shepherding models through the validation process + Ensures Risk related models work as intended + Understands technical issues in econometric and statistical modeling and applying said skills to managing a wide spectrum of risks to the company + Proactively identifies opportunities to apply quantitative methods to improve business performance and effectively monitor and mitigate risks + Assists in ensuring adherence to Regions' model governance framework + Assesses skill and technical knowledge within the team and curates development plans or recommends changes when necessary This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. This position is incentive eligible. **Requirements** + Bachelor's degree and ten (10) years of quantitative/analytical/STEM experience + Or Master's Degree and eight (8) years of quantitative/analytical/STEM experience + Or Ph.D. and six (6) years of quantitative/analytical/STEM experience + 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 Python, Ruby, R, Matlab, Scala, or Java + Two (2) years of working experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka + Five (5) years of managing data scientists/analysts or similar as well as project management experience **Preferences** + Advanced degree with analytical and/or business intelligence (BI) focus + Background in banking and/or other financial services + May require experience in libraries such as TensorFlow, Pytorch, or Keras + Experience in Agile Software Development practice **Skills and Competencies** + Ability to collaborate with internal and external partners + Ability to effectively interact with business, technical and quantitative groups + Advanced skill in analyzing large, complex, multi-dimensional datasets + 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 + Demonstrated success making recommendations and solving problems with Big Data + Familiarity with Data Management Platforms (DMPs) and real-time decision systems + 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. 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:_** **_Median:_** **Incentive Pay Plans:** This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual, business, and/or company performance. **Benefits Information** Regions 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 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. To learn more about Regions' benefits, please click or copy the link below to your browser. **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.

Job Tags

Full time, Work experience placement, Flexible hours,

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