Associate Quantitative Risk Analyst Jobs in Dallas, TX

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.

Responsible for building and documenting the models used to quantify and manage the company’s credit, interest rate, liquidity, operational, market, regulatory and reputational risks on an actual and pro-forma basis. The modeling and the resulting quantification is used to influence strategic decisions by executive management and the board of directors, and drive both compliance with the regulatory directives under Basel III, and guidance relative to stress testing and capital management for financial institutions (Dodd-Frank Act Stress Test – DFAST – and Comprehensive Capital Analysis and Review – CCAR – protocols). Also develops and documents the quantitative tools used to quantify credit risk, provide early identification of trends in compliance activities, and support other areas of the Bank in which predictive or analytical models can be employed to improve business performance.

1. Develops, documents, and maintains quantitative tools and models used to, among other things:

1. measure risks to earnings and capital inherent in the Company’s current position and business plans/forecast;

2. assess economic capital and to ensure that risks taken are adequately compensated;

3. measure and analyze the liquidity effects of government-mandated and idiosyncratic scenarios;

4. quantify the Probability of Default (PD), Loss Given Default (LDG), and Exposure at Default (EAD) to be used in the credit review process and in the calculation of the allowance for loan and lease losses; and

5. optimize product and services pricing.

1. Develops expertise in the fields of risk quantification and modeling in support of and working closely with both internal and external stakeholders, including business and risk professionals and regulatory authorities.

2. Develops, enhances, implements, documents and provides ongoing expert support for the practical applications of analytics, financial economics, and quantitative methods in support of management business decision making, risk management, capital allocation and optimal resource allocation.

3. Converts data from different sources into meaningful business intelligence to enhance decisions and financial performance.

4. Performs ad hoc analyses as requested by management.

5. Leads the implementation planning and execution of models and collaborates with stakeholders on the implementation of models.

6. Leads and/or assists with the remediation of models.

7. Communicates results of work and recommendations for improvements or enhancements effectively to the supervisor.

8. Regularly exercises discretion and judgment in the performance of essential of job functions.

9. Maintains good punctuality and attendance to work.

10. Follows Bank policy, procedures and guidelines.

11. Performs other duties as may be required.

1. Knowledge of general business principles.

2. Knowledge of several of the following techniques:

1. Linear and non-linear regression;

2. Maximum likelihood estimation;

3. Time series estimation and forecasting;

4. Panel data analysis;

5. Limited dependent and qualitative variable models;

6. Optimization;

7. Simulation;

8. Interest rate modeling/derivative pricing;

9. Data mining;

10. Survival analysis.

1. Ability to communicate effectively both verbally and in writing.

2. Ability to articulate complex theories, concepts, methodology and findings in a non-technical fashion and to non-technical audiences.

3. Ability to demonstrate effective quantitative, analytical, and technical skills.

4. Ability to demonstrate effective interpersonal skills, including working in a team environment and building cross-functional relationships.

5. Ability to demonstrate effective problem-solving skills.

6. Ability to produce high quality documents, presentations, and analyses.

7. Skill in using computer and Microsoft Office, including Word, Excel, Access, PowerPoint and Outlook.

1. Master's degree in finance, economics, or related field, or commensurate work experience, required.

2. Minimum of two (2) years of prior experience planning and leading complex quantitative projects required.

3. Prior experience with standard modeling/data extraction tools (e.g., SAS (preferred) or R) and VBA required.

Operate customary equipment and technology used in a business environment, with or without accommodation.

Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required.  Other job functions, duties, skills, and standards may be added.  Management reserves the right to add or change the job requirements at any time.

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Bank OZK is an equal opportunity employer and give consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.

1. Master's degree in finance, economics, or related field, or commensurate work experience, required.

2. Minimum of two (2) years of prior experience planning and leading complex quantitative projects required.

3. Prior experience with standard modeling/data extraction tools (e.g., SAS (preferred) or R) and VBA required.