Risk Quantitative Analyst - Market Risk at Regions Bank Atlanta, GA

Risk Quantitative Analyst - Market Risk job at Regions Bank. Atlanta, GA.

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Job Description:

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. Associates at this level are considered analytical or procedural experts and represents the team on cross-functional processes or project deliverables. This position may supervise or lead the work of other team members.

Primary Responsibilities

Designs, enhances, and implements a variety of credit models that rely on mathematical, financial, statistical, econometric, machine learning, and artificial intelligence methods

Determines 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

Designs 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

Collaborates with senior management in the development of goals and objectives, ensuring consistent achievement

Offers guidance and advice to junior analysts, assisting in the development of necessary skills and the promotion of continuous improvement initiatives

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

This position will work a hybrid schedule with a combination of in-office and remote work.

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Operations Research, Physics, or related field

Six (6) years of experience in Econometrics, Mathematical Finance, Statistical Methods, or related field

Advanced 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 Competencies

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 autonomously, with limited 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

Position Type

Full time

Compensation Details

Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for indi