Risk Data Scientist

Regions Bank; Hoover (AL); On-site; USD 91,000 - 111,000; Full time

Benefits offered by this job

Paid Vacation/Sick Time

401K with Company Match

Medical, Dental and Vision Benefits

Parental Leave

Employee Assistance Program

Job summary

Regions Bank is seeking a Risk Data Scientist to research, model, implement, and validate predictive and prescriptive algorithms across diverse data sources. You will mentor junior scientists, manage multiple projects, and drive data-driven decisions while communicating strategies to senior leaders and regulators.

Responsibilities include building ML/AI models, working with Hadoop/Spark ecosystems, and delivering rich visualizations.

Qualifications

• Bachelor's degree or higher in a quantitative/analytical/STEM field with required experience.
• 6 years of quantitative/analytical/STEM experience for Bachelor's track.
• 4 years with Master's or PhD in quantitative/analytical/STEM field.
• 2 years of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka.
• 3 years of experience with statistical and predictive modeling concepts and AI.
• 3 years of programming experience with SAS, Python, R, Matlab, Scala, or Java.

Responsibilities

• Mentors and guides junior risk data scientists.
• Plans and manages multiple concurrent projects.
• Leverages data science and quantitative solutions to manage risk.
• Works with large structured and unstructured datasets.
• Builds data analytics solutions and ML/AI models from development to testing.
• Designs data visualizations to communicate with leaders.

Skills

SQL

Big Data

Machine learning

Data visualization

Leadership

Project management

CI/CD

Spark

PySpark

Communication

Education

Bachelor's degree

Master's degree

PhD

Tools

Hadoop

Hive

Impala

Spark

Kafka

SAS

Python

R

Java

Tableau

Power BI

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 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 Responsibilities

• Mentors and guides junior risk data scientists

• Plans and manages multiple concurrent projects

• Carefully 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 company

• 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

• Conducts research to evaluate the ongoing appropriateness of existing or proposed quantitative solutions

• 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 leaders and other constituencies, including external auditors and prudential regulators

• 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

• Works 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 process

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 in a quantitative/analytical/STEM field

• Or Master's degree and four (4) years of related experience in a quantitative/analytical/STEM field

• Or Ph.D. and four (4) years of related experience in a quantitative/analytical/STEM field

• Two (2) years of hands‑on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or Kafka

• 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 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 Structure 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 Intelligencer (BI) and Tableau

• Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders

• Strong leadership and project management skills

• Experience with CI/CD environments (Snowflake, Harness, Artifactory, etc.) preferred

• Ability to orchestrate large data pipelines efficiently (Spark, Pyspark, Snowpark)

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:

$101,008.05 USD

Median:

$145,720.00 USD

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. (https://www.regions.com/about-regions/benefits/benefits-eligibility) 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/about-regions/welcome-portal/benefits

Location Details

Riverchase Complex North Building

Location:

Hoover, 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.