Regions Bank Quantitative Model Development Analyst II - Enterprise Model Resources Group in Birmingham, Alabama
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At Regions, the Quantitative Modeling Analyst is responsible for developing quantitative, analytics, and applications in support of the firm's risk management effort, with limited supervision. Associates in this job family are typically in a corporate function providing support across the entire firm or to multiple business segments, and typically work on moderately complex projects. This position may be assigned to the Finance, Risk Management, or BSA/AML business segments of the bank.
Primary Responsibilities if assigned to Finance or Risk Management Team:
Develops various analytical methods and models that assess the market, credit, and/or operational risks of new and existing financial products including sensitivity analyses, stress testing, value-at-risk, scenario testing, and Monte Carlo simulations
Participates in the research, design and implementation of new financial products or in the development of trading or hedging strategies
Consults with the business segments in researching the development of risk management models for new and existing products
Focuses on quantitative finance modeling and may use statistical modeling
Primary Responsibilities if assigned to BSA/AML/OFAC Model Development and Monitoring Team:
Partners with OFAC, EDD, CTR, and Monitoring teams to design scenarios/models
Improves segmentation for the scenarios/models using techniques such as clustering
Executes periodic tuning for the threshold parameters of the scenarios through sample collection
Develops post processing models to reduce the amount of false positive generated by the scenarios/models using statistical techniques such as rare event logistic regression and machine learning algorithms
Works with IT teams in application development to test and implement models
Focuses on statistical modeling
This position is exempt from timekeeping requirements under the Fair Labor Standards act and is not eligible for overtime pay.
Bachelor’s degree in Statistics, Mathematics, Physics or Quantitative Finance AND four (4) years related experience
Statistics and Mathematics degree is more acceptable for the BSA/AML/OFAC Model Development and Monitoring team
OR Master’s degree in Statistics, Mathematics, Physics or Quantitative Finance AND two (2) years of experience
Charted Financial Analyst (CFA)
Financial Risk Manager (FRM)
Skills and Competencies
Proficiency with SAS, R, SQL and Visual Basic Script within Microsoft Excel
Advanced data sourcing and management skills
Experience with classification models for the BSA/AML/OFAC Model Development and Monitoring Team
The Enterprise Model Resources Group (EMRG) at Regions is a centralized, multidisciplinary, quantitative analytics team tasked with providing modeling and sophisticated analytical expertise to business partners throughout the bank. The group is chartered to contribute 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. EMRG analysts work as 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. Accordingly, analysts within EMRG have opportunity to apply and strengthen their quantitative expertise on projects with significant industry relevance.
Examples of models developed by EMRG’s include: credit risk, CCAR/stress testing, prepayment risk assessment, balance sheet forecasting, revenue forecasting, asset/liability management, market risk assessment, anti-money laundering monitoring, economic capital estimation, fixed income analysis, yield curve construction, derivative valuation, and operational risk management.
Given the broad scope of projects undertaken by the group, applicants will evidence advanced analytical expertise within at least one of the following subject areas: financial mathematics, credit loss modeling, simulation modeling, Monte Carlo methods in finance, fixed-income valuation, yield curve modeling, regression techniques, experimental design, and/or bank capital analysis. Applicants will also have experience in one or more major analytical or bank systems such as SAS, R, Matlab, SQL, Oracle, QRM, and Blackrock. Importantly, the applicant must have a passion for applying their mathematical and analytical knowledge in new and inventive ways to practical challenges within the bank.
At Regions, our culture focuses on five core values that are a commitment to how we will do business:
Put people first
Do what is right
Focus on your customer
Through these values, our mission to make life better drives our desire to improve and make a positive difference in the communities where we work and live through financial investments and volunteering.