PNC Financial Services Group

Senior Quantitative Analytics and Model Development Analyst

29 October 2024
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Deadline date:
£86000 - £160000 / year

Job Description

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 Senior Quantitative Analytics and Model Development Analyst within PNC’s Balance Sheet Analytics and Monitoring organization, you will be based in Tyson’s 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.

In this role, you will utilize a variety of statistical techniques to generate analysis, build and monitor models to detect, monitor, and avert concerning/fraudulent patterns of account activity. You will work with key stakeholders to identify patterns and risk indicators within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies.

Specific responsibilities for this role include (but are not limited to):
• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets.
• Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation.
• Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts.
• Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders.

The successful candidate will have the following qualifications:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Physics, Quantitative Sciences) with 1 year of relevant work experience
• Strong knowledge of and work experience with relational databases, SQL, Python, and Spark is required.
• Experience designing samples and developing predictive models using regression, clustering, decision trees approaches, and using Machine Learning techniques/algorithms like gradient boosting, neural networks.
• Strong communication skills that encompass writing (experience writing documentation with regulatory requirements is a plus), communicating, facilitating, and presenting cogently to and/or for all levels of audiences
• A demonstrated history of successfully managing several projects concurrently
• A demonstrated ability to develop strong relationships and partnerships within and outside of the organization

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.
  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.
  • Uses quantitative tools and techniques to measure and analyze 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 3+ years of relevant / direct industry experience. Certifications are often desired. 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 pncbenefits.com > New to PNC.

*For more information, please click on the following links:

Time Away from Work

PNC Full-Time Benefits Summary

PNC Part-Time Benefits Summary

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [email protected]. 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.

California Residents

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