Risk Quantitative Model Validation Analyst

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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 knowledgein 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

• Bachelors degreeand five (5) years of experience in a quantitative/analytical/STEM field
• OR Masters degreeand 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

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:

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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.

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