Risk Quantitative Analyst

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At Regions,the Risk Quantitative Analystis a member of a key strategic team that is responsible for a very wide range of quantitative initiatives that include stress testing and loss forecasting, economic capital, risk ratings, portfolio valuation, optimization, origination strategies, and other portfolio management analytics.

Primary Responsibilities

• Designs, enhances, and implements a variety of credit models that rely on mathematical, financial, statistical, econometric, machine learning, and artificial intelligence methods
• Collaborates with senior analysts in determining the appropriate credit model to build, given design requirements and data that are often limited or noisy
• Critically evaluates conceptual soundness of credit models and considers alternate methodologies
• Assists in the design of appropriate tests to determine whether models work as designed and monitors existing models for adequate performance
• Documents models, defends methodological choices, and remediates identified technical issues for the purposes of independent model validation
• Works collaboratively with other quantitative analysts with a diverse technical background to share knowledge and implement the most appropriate analytical solution
• Collaborates with Credit Portfolio Managers, Risk Management, Finance, Treasury, and lines of businesses to identify opportunities and credit-related risks in the portfolio, making recommendations on new credit origination and risk mitigation strategies
• Offers guidance and advice to junior analysts on occasion

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

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Operations Research, Physics, or related field
• Three(3) years of experience in Econometrics, Mathematical Finance, Statistical Methods, or related field
• Proficiency in Structured Query Language (SQL), Visual Basic for Applications (VBA) Script, Python, JAVA, C#, R, and/or Statistical Analysis Software (SAS)
• Experience analyzing data and building applicable mathematical models

Preferences

• Master's degree in Quantitative Finance, Financial Engineering, Risk Management, Statistics, Economic, Computer Science, Electrical Engineering, Mathematics, Operations Research, Physics, or related field
• Coursework in stochastic processes used derivative pricing, numerical methods, and fixed income securities
• Experience in Market Risk, Captial Markets Risk, or a Trading function, with derivative products (e.g. rates, commodities, credit), foreign exchange, leveraged loans, and fixed income

Skills and…