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Quantitative Analytics & Model Development Consultant

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics/Modeling Consultant within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA or Tysons Corner, VA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager’s discretion.

As a model validator you will perform rigorous independent reviews of PNC’s models including loss forecasting models, stress testing models, scoring models, and other models estimated in various ways including machine-learning models. You will also write reports and memos and become a lead author and owner of various model reviews.

Qualifications include but not limited to;
- Experience developing models or validating applied models within the financial services industry, government, or academic setting is preferred.
- Strong English communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.
- Hands-on experience with model testing and estimation tools in Python, R, SQL, SAS, etc.

Job Description

  • Performs complex quantitative analyses and models development to support decision-making by running quantitative strategies.
  • Develops new model frameworks by supporting the line of business. Refines, monitors, and validates existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models.
  • Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Reviews reports and associated quantitative analysis. Validates existing models and assesses model risks.
  • Evaluates identified model risks and reaches conclusions on strengths and limitations of the model.
  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Average salary estimate

$95000 / YEARLY (est.)
min
max
$80000K
$110000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Quantitative Analytics & Model Development Consultant, PNC

At PNC, we believe our employees are at the heart of our success, and as a Quantitative Analytics & Model Development Consultant in the Model Risk Management organization, based in vibrant Pittsburgh, PA, you will play a critical role in enhancing our capabilities. This isn’t just a job; it’s an opportunity to dive into the complex world of quantitative modeling and analytics. In this dynamic position, you'll conduct rigorous validations of our various models, including loss forecasting, scoring, and stress testing models, using methods that often include the latest in machine learning. Your role will not only involve validating existing models but also developing new frameworks that align with business needs. Communication is key here, as you'll need to convey intricate technical concepts to a wide array of stakeholders effectively. With a focus on data integrity and model risk assessment, you will prepare essential documentation for regulatory compliance. If you have a solid background in financial services or academia, and you're proficient in tools like Python or R, join us at PNC to leverage your expertise and contribute to a culture where innovation and collaboration thrive. Let's work together to drive success for our customers and ourselves!

Frequently Asked Questions (FAQs) for Quantitative Analytics & Model Development Consultant Role at PNC
What are the main responsibilities of a Quantitative Analytics & Model Development Consultant at PNC?

As a Quantitative Analytics & Model Development Consultant at PNC, your main responsibilities will include performing independent reviews of various models, developing new model frameworks, validating existing models, and assessing model risks. You will also prepare documentation for regulatory compliance while promoting effective communication with model owners throughout the review process.

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What qualifications are needed for the Quantitative Analytics & Model Development Consultant role at PNC?

Candidates for the Quantitative Analytics & Model Development Consultant role at PNC should possess a university degree and ideally have 5+ years of relevant experience within financial services, government, or academic settings. Proficiency in Python, R, SQL, or SAS is essential, along with strong written and verbal communication skills to articulate complex ideas to various stakeholders.

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How does PNC support continuous learning for Quantitative Analytics & Model Development Consultants?

PNC fosters an environment of continuous learning and development for its Quantitative Analytics & Model Development Consultants by providing access to educational assistance programs. This includes training opportunities and financial incentives to enhance skills in data analytics, risk management, and model development, ensuring that employees stay competitive in their field.

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What technical skills are beneficial for a Quantitative Analytics & Model Development Consultant at PNC?

Successful Quantitative Analytics & Model Development Consultants at PNC would benefit from technical skills in analytical thinking, familiarity with model-testing and estimation tools, and expertise in areas such as data analytics, predictive analytics, and understanding of the regulatory environment in financial services.

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Are there any specific certifications required for the Quantitative Analytics & Model Development Consultant position at PNC?

While there are no specific certifications required for the Quantitative Analytics & Model Development Consultant position at PNC, having relevant job-specific certifications could enhance your candidacy. The emphasis is primarily on experience and the ability to apply quantitative techniques within the financial sector.

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Common Interview Questions for Quantitative Analytics & Model Development Consultant
Can you explain your experience with model validation techniques?

When answering, highlight specific methods you've used in previous roles, describing the algorithms and tools involved, such as Python or R. Be sure to include any projects where your validation efforts yielded important insights or improvements.

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How do you handle communication of complex quantitative findings to non-technical stakeholders?

Share examples of how you've successfully conveyed intricate concepts in straightforward terms. Discuss strategies you've employed, such as using visuals or relatable analogies, to ensure clarity and engagement with your audience.

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Describe a time you encountered challenges during model development? How did you address them?

Use the STAR method to structure your response, detailing the Situation, Task, Action, and Result. Focus on problem-solving techniques and collaboration with team members to resolve issues effectively.

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What do you consider when assessing the risks of a quantitative model?

Outline the criteria you evaluate, such as data quality, model assumptions, and potential limitations. Discuss how you prioritize these elements to understand the model's reliability and overall impact.

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What experience do you have with machine learning techniques?

Detail your experience using specific machine learning algorithms and tools, including any projects where you successfully implemented these techniques in model development. Be sure to discuss the outcomes and what you learned.

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Can you give an example of a regulatory requirement that impacts model validation?

Share your knowledge of specific regulations relevant to model validation, such as stress testing regulations or Aspect of the Federal Deposit Insurance Act. Describe how these requirements influence your work and how you ensure compliance.

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How do you stay updated with advancements in quantitative analysis tools and techniques?

Discuss your commitment to professional growth through online courses, attending workshops, or being involved in professional organizations. Share resources or communities you follow to keep your skills fresh.

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What role does collaboration play in your model development process?

Emphasize the importance of teamwork in successfully developing and validating models. Provide examples of how collaborating with various teams has led to enhanced model integrity and innovative solutions.

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How do you approach improving existing quantitative models?

Discuss your systematic process for refining models, including techniques like back-testing, validation of assumptions, and soliciting feedback from stakeholders. Highlight any specific improvements you've implemented in the past.

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Why do you want to work as a Quantitative Analytics & Model Development Consultant at PNC?

Reflect on PNC's values and culture, and express your enthusiasm for contributing to their mission. Mention how your skills align with the company's goals and how they provide a platform for your professional growth.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 13, 2025

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