Risk Quantitative Analyst

Regions Bank•Birmingham, AL

1d•Onsite

About The Position

At Regions, the Risk Quantitative Analyst is 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.

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
Ability to learn additional systems as needed
Ability to research, analyze data, and derive facts
Ability to work in a team environment when applicable
Ability to work under moderate guidance
Ability to work under pressure and meet deadlines
Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
Strong verbal, written communication, and organizational skills
Strong work ethic and self-motivation
Applicants for this position must be currently authorized to work in the United States on a full-time basis.

Nice To Haves

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

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