Regions | Risk Quantitative Model Validation Analyst | Birmingham, AL | United States | | 13 Oct 2022

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Job Location: Birmingham, AL

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 Quantitative Model Validation Analyst serves as a member of a key strategic team that is responsible for performing independent model risk oversight activities, including model identification, determination, classification, inventory management, validation, review, issue remediation testing, reporting, and related activities. The associate will test data products, including models and analytical tools, in the areas of fraud monitoring, cybersecurity, credit scoring, marketing, BSA/AML/OFAC compliance, market risk, capital markets, operational risk, finance and accounting, loan pricing, deposit pricing, loan valuation, and economic capital.

In Model Risk Management and Validation (MRMV), the Risk Quantitative Model Validation Analyst works with multiple teams of validation analysts, governance analysts, as well as automation specialists to validate highly complex quantitative models, including Artificial Intelligence (AI) and Machine Learning (ML) approaches . The ideal candidate has knowledge in data management, visualization, automation, quantitative modeling methods and programming skills. Jyotish Jyotish - Career & Life Prediction

Primary Responsibilities

Performs quantitative validation test work under guidance from validation manager and/or senior validation analyst and summarizes test results, conclusions, and issues in model validation report

Works with large, structured, and unstructured datasets

Uses quantitative and analytical techniques to validate models focused on accelerating profitable growth and customer engagement, unlocking value across all functional areas of business

Communicates model issues and limitations to key stakeholders and represents Regions with regulators as needed

Validates Machine Learning and Artificial Intelligence models

Demonstrates ability to continuously learn and provide value in a dynamic environment

Fosters interest in MRMV among internal Regions associates when MRMV has postings

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


Bachelor’s degree and five (5) years of experience in a quantitative/analytical/STEM field

OR Master’s degree and three (3) years of experience in a quantitative/analytical/STEM field

OR Ph.D.


Background in banking and/or other financial services

Experience in Agile Software Development

Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), or other relevant certifications

One (1) year of working experience in Machine Learning, Deep Learning, or Artificial Intelligence

One (1) year of working programming experience in Python, R, Matlab, SAS or Java

One (1) year of hands-on experience with Big Data technologies

Skills and Competencies

A control-focused mind-set with strong process improvement capabilities

A proven track record of working in teams and of leading projects

Ability to manage multiple tasks and work effectively under pressure in a rapidly changing environment

Advanced Structure Query Language (SQL) skills

Attention to detail, initiative, and ability to work under tight deadlines

Comfortable with both relational databases and Hadoop-based data mining frameworks

Current knowledge of financial regulations

Excellent written and oral communication skills, especially clearly explaining quantitative concepts to non-quantitative audiences

Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Python or R.

Motivated, organized, and team-oriented

Proficient in visualization tools like Power Business Intelligencer (BI)

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

Understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms

Position Type Full time

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that “one size does not fit all” for 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 – Birmingham

Location: Birmingham, Alabama

Bring Your Whole Self to Work

We have a passion for creating an inclusive environment that promotes and values diversity of race, color, national origin, religion, age, sexual orientation, gender identity, disability, veteran status, genetic information, sex, pregnancy, and many other primary and secondary dimensions that make each of us unique as individuals and 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 is the right thing to do.

OFCCP Disclosure: Equal Opportunity Employer/Disabled/Veterans

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