Marketing Quantitative Modeling Analyst

Location: Birmingham, Alabama
Job Category: Public Relations | Marketing
Job ID: 72328
Employment Type: Full time
Salary:
Posted: 03.31.2025

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Occupations:

Job Description:

At Regions, the Quantitative Modeling Analyst works closely with Senior Quantitative Managers and business partners to devise, design, test, document, implement and maintain quantitative solutions that meet the bank’s needs.

The Enterprise Model Resources Group (EMRG) is a centralized, multidisciplinary, quantitative analytics team tasked with providing modeling and sophisticated analytical expertise to business partners throughout the bank. EMRG contributes to the development and maintenance of quantitative solutions across a wide range of topics and business areas, employing techniques from various mathematical disciplines such as statistics, finance, economics, and machine learning. The EMRG Quantitative Modeling Analyst works on an integrated and collaborative resource team, leveraging both the broad range of technical expertise amongst EMRG associates as well as the deep industry knowledge residing within the bank. The EMRG analyst applies and  strengthens quantitative expertise through projects with significant industry relevance. Examples of models developed by EMRG’s have covered a range of subjects:  credit risk, CCAR/stress testing, interest rate risk, balance sheet forecasting, market risk, anti-money laundering, economic capital, fixed income analysis, yield curve construction, derivative valuation, customer propensity scoring, and customer segmentation.

Primary Responsibilities

• Devises and designs advanced quantitative solutions, models, analyses, and tools to address needs throughout the bank
• Identifies sources, captures, explores and prepares data to inform the quantitative model design, estimation, testing and documentation
• Performs analysis to justify the economic, mathematical, and/or analytical techniques used in the development of quantitative solutions
• Conducts thorough quantitative and qualitative tests and analysis to justify model design and measure its efficacy, risk, and robustness
• Assesses and documents how practical, technical, and theoretical constraints were adequately considered and overcome (such as gaps in data, model assumptions, changing business conditions, regulatory developments) throughout the development process
• Composes and maintains documentation in support of the effectiveness of quantitative solutions (in written, presentation and verbal formats)
• Performs periodic monitoring tasks on existing quantitative solutions to assess their continuing efficacy and robustness
• Conducts research to evaluate the ongoing appropriateness of existing or proposed quantitative solutions given the bank’s strategy, processes, market conditions, availability of data and industry standard practices
• Prepares and delivers presentations to stakeholders as needed, including the EMRG team, line of business management, independent model risk management teams, regulatory supervisors, and internal/external audit 
• Prepares and maintains detailed process/procedural documentation for operating, maintaining, and facilitating the accurate repeated use of the solution
• Provides regular progress updates to management and project teams on all assigned responsibilities
• Executes and maintains existing quantitative solutions in live production environments in a manner that adheres to applicable policies and procedures (and maintains organized evidence thereof)
• Works collaboratively and cooperatively with business partners (i.e., Risk Management, Treasury, Finance, Operations, Model Validation, Internal Audit and Lines of Business and team members in EMRG)
• Maintains a highly organized approach to solution development, code versioning, quantitative testing and document preparation
• Works in strong cooperation / apprenticeship with more senior experienced quantitative analysts or managers, but often will be expected to operate independently, as project leads and/or to provide mentorship/teaching to more junior analysts

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

Skills and Competencies

• Ability to organize and make progress on multiple simultaneous projects 
• Advanced data sourcing, data management and data analytical skills
• Attention to detail
• Excellent writing, communication and presentation skills
• Proficiency in SAS, R, SQL, or Python
• Strong proficiency in standard business software such as Microsoft Excel and Powerpoint

Additional Responsibilities:

• Commissions the design and construction of models or tools and ensures that models are properly developed, constructed, processed, used, and governed
• Implement and maintain marketing model governance policies and practices to ensure compliance with internal model risk regulations and company standards
• Set up new governance committee to review model performance and enhance model monitoring to track performance and stay compliance wrt to fair lending

This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week.  The manager will set the work schedule for this position, including in-office expectations.  Regions will not provide relocation assistance for this position, and relocation would be at your expense.  

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.

Job Requirements:

Requirements

• Bachelor's degree in a highly quantitative and analytical field such as Statistics, Economics, Econometrics, Applied Mathematics, Physics, Quantitative Finance, Operations Research
• Five (5) years professional experience in applying skills in econometrics, quantitative finance, statistical methods, mathematical model design, or advanced data analysis
• Or, Masters’ degree in one of the above fields and three (3) years professional experience in applying skills of econometrics, quantitative finance, statistical methods, mathematical model design, or advanced data analysis
• Or, a PhD in the fields listed above and one (1) year professional experience in applying skills of econometrics, quantitative finance, statistical methods, mathematical model design, or advanced data analysis

 Preferences

• A PhD or strong academic performance at the master’s level in the aforementioned subjects
• Seven (7) years professional experience in applying skills in econometrics, quantitative finance, statistical methods, mathematical model design, or advanced data analysis
• One of various certifications in Financial analysis such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM)
• Certification in one or more of various quantitative tool kits such as SAS, R, SQL, Python
• Experience with one or more modeling techniques such as econometric time series analysis, cross-sectional regression, survival modeling, panel regression, clustering analysis, survey analysis, or various supervised and unsupervised learning methods

Equal Opportunity Employer/including Disabled/Veterans