We are a regional Banking and Real Estate Investments leader who is looking to add to their team in a full-time capacity at the VP or SVP level. Join an organization with an extremely competitive compensation package (salary, benefits, bonus, and 401K match that can total well over $180K+ at VP level and $220K+ at SVP level), amazing office and working environment, and ground floor opportunity to be part of a rapidly growing team! In this role, you'll be developing and validating market risk and credit risk models.

*This team works 60% remotely (3 days remote, 2 days onsite per week near Highland Park), is ok with visa candidates, and will offer relocation assistance to the right person! (assuming you can be relocated to Dallas to start on day 1)*

The ideal candidate will have recent/considerable Model Development and/or Validation experience, have 2 of the following 3: R, Python, SAS, and be a hands-on coder who can lead projects/teams.

Overview:

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). Develops the 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.

Essential Functions:

1. Provides technical knowledge and advice to management related to quantitative analysis, modeling, economic capital, and stress testing.

2. Develops and documents the models needed to perform stress analyses in accordance with regulatory requirements (DFAST, Basel III, CCAR, and other Federal regulations for large banks that may apply now and in the future).

3. Periodically evaluates and enhances the models to maintain their relevance and ensure compliance with current regulatory requirements.

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

5. measure risks to earnings and capital inherent in the company’s current position and business plans/forecast:

• a. assess economic capital and to ensure that risks taken are adequately compensated;
• b. measure and analyze the liquidity effects of government-mandated and idiosyncratic scenarios;
• c. analyze loan prepayment speeds of assets and deposit decay rates;
• d. quantify the Probability of Default (PD), Loss Given Default (LGD), 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;
• e. optimize product and services pricing; and
• f. analyze and predict compliance with high risk laws and regulations (including those under the purview of the Consumer Financial Protection Bureau), and performance under the Community Reinvestment Act.

6. Guides and critically evaluates the efforts of consultants and vendors engaged to develop and document models to be used or in use in the production environment.

7. Mentors and trains Quantitative Modelers, as necessary.

8. Serves as an expert resource 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.

9. Collaborates with business units to identify the relevant asset-liability management data used in analyses and modeling and to ensure that it is collect and retained.

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

11. Participates in and provides information for discussions with regulators, independent public accountants, and consultants on current quantitative processes, related outputs and analyses, and management determined model inputs.

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

13. Performs ad hoc analyses as requested by management.

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

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

16. Makes recommendations for enhancing resource allocation and financial performances.

17. Communicates results of work and recommendations for improvements or enhancements effectively to all levels of management.

18. Collaborates with management in identifying, recruiting, selecting, and managing a team of high caliber analysts and modelers skilled in the development of modern, practical analytical and predictive models.

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

20. Maintains good punctuality and attendance to work.

21. Follows Bank policy, procedures and guidelines.

22. Performs other duties as may be required.

Knowledge, Skills, & Abilities:

1. Knowledge of general business principles.

2. Knowledge of several of the following techniques:

• a. Linear and non-linear regression;
• b. Maximum likelihood estimation;
• c. Time series estimation and forecasting;
• d. Panel data analysis;
• e. Limited dependent and qualitative variable models;
• f. Optimization;
• g. Simulation;
• h. Interest rate modeling/derivative pricing;
• i. Data mining;
• j. Survival analysis.

3. Knowledge of bank operations, including finance and treasury, credit, deposits, sales and support operations, trust and asset management, and regulatory compliance.

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

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

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

7. Ability to design and apply complex financial and economic models and quantitative tools to solve business problems.

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

9. Ability to lead and mentor others.

10. Ability to demonstrate effective problem-solving skills.

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

12. Ability to interact with a variety of organizational levels.

13. Ability to travel for business purposes.

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

Basic Qualifications:

1. Master degree in mathematics, finance, economics, or related field, or commensurate work experience, required; PhD or other advanced degree or training preferred.

2. Minimum of five (5) years of increasingly responsible experience in financial and business analysis required.

3. Minimum of three (3) years of experience directly related to financial services modeling or model validation at a DFAST/CCAR institution required.

4. Prior experience planning and leading complex quantitative projects required.

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

6. Prior experience preparing deliverables for senior management committees and corporate boards required.

Job Type: Full-time

Pay: $160,000.00 - $220,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Professional development assistance
• Vision insurance

Physical setting:

• Office

Schedule:

• Monday to Friday

Supplemental pay types:

• Bonus pay

Ability to commute/relocate:

• Dallas, TX 75225: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Experience:

• Quantitative analysis: 5 years (Required)

Work Location: In person

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