1

Quantitative Risk Analyst Jobs in Pennsylvania (NOW HIRING)

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

next page

Showing results 1-20

Quantitative Risk Analyst information

See Pennsylvania salary details

$56.6K

$134.2K

$240.6K

How much do quantitative risk analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative risk analyst in Pennsylvania is $134,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Pennsylvania? The most popular types of Quantitative Risk Analyst jobs in Pennsylvania are:
What are popular job titles related to Quantitative Risk Analyst jobs in Pennsylvania? For Quantitative Risk Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Pennsylvania look for? The top searched job categories for Quantitative Risk Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Quantitative Risk Analyst jobs? Cities in Pennsylvania with the most Quantitative Risk Analyst job openings:
Quantitative Analytics & Model Development Analyst - Data Model Analytics

Quantitative Analytics & Model Development Analyst - Data Model Analytics

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

Position OverviewAt 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 & Model Development Analyst within PNC's Data Model Analytics organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Charlotte, NC or Tysons Corner, VA.
As a Quantitative Analytics & Model Development Analyst within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank 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. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.
Job Responsibilities:
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
Experience in developing GenAI solutions
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
Preferred skills and experience:
Master's degree or higher in a quantitative field
Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
Strong programming skills in Python, PySpark, R, and/or SQL
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
Ability to manage multiple projects simultaneously
Strong teamwork skills and ability to work across different departments
Additional preferred qualifications:
Master's degree in Statistics or Econometrics
Experience in banking/ financial services
Experience with anti-fraud and/or anti-money laundering modeling
Hands-on experience building various types of AI/ML models, including neural networks
Experience with cloud platforms like AWS, Google Cloud, or AzurePNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.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 SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles 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.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $55,000.00 - $121,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 03/19/2026, although it may be longer with business discretion.BenefitsPNC 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; 9 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, visitpncthrive.com.

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.


What PNC Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom