The Center Birmingham
Risk Quantitative Model Validation Analyst
The Center Birmingham, Birmingham, Alabama, United States, 35275
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.
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.
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.
Requirements
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.
Preferences
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
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:
$75,239.45 USD
50th Percentile:
$100,840.00 USD
Incentive Pay Plans: This job is not incentive eligible.
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.
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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.
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.
Requirements
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.
Preferences
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
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:
$75,239.45 USD
50th Percentile:
$100,840.00 USD
Incentive Pay Plans: This job is not incentive eligible.
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.
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