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.

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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 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 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

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

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 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

Position Type

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:

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.

https://www.regions.com/welcometour/benefits.rf

Location Details

Location:

Bring Your Whole Self to Work  

We have a passion for creating an inclusive environment that promotes and values the differences that make each of us stand out as unique individuals and help provide valuable perspective that makes us a better company and employer. More importantly, we recognize that creating a workplace where everyone, regardless of background, can do their best work and thrive is the right thing to do.

OFCCP Disclosure: Equal Opportunity Employer/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.