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 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 project management skills as well as depth of 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
Uses Big Data tools (Hadoop, Spark, H2O, CDSW, etc.) to validate data analytics solutions
Validates Machine Learning and Artificial Intelligence models
Demonstrates ability to continuously learn and provide value in a dynamic environment
Develops, engages, and retains fellow MRMV associates as well as foster interest in MRMV among internal Regions associates even when MRMV does not have a posting
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 experience in a quantitative/analytical/STEM field
OR Master's degree and two (2) years of experience in a quantitative/analytical/STEM field
OR Ph.D. in a quantitative/analytical/STEM field
Two (2) years of working experience in Machine Learning, Deep Learning, or Artificial Intelligence
Two (2) years of working programming experience in Python, R, Matlab, SAS or Java
One (1) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka
Preferences
PhD
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
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
*This position may be filled at a higher level depending on the candidate's qualifications and relevant experience.
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.
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.
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.
