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$56.5K

$133.9K

$240K

How much do quantitative analytics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for quantitative analytics in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What jobs use quantitative analysis?

Quantitative analysts, often called quants, work in finance, investment banking, risk management, and data science to develop mathematical models for decision-making. These roles require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and financial modeling. Compensation often includes base salary, bonuses, and incentives, especially in finance and investment firms, making it a lucrative career for those with advanced quantitative expertise.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and data analysis to evaluate financial, business, or operational data. Professionals in this role often work with tools like Excel, SQL, or programming languages such as Python or R to develop insights and support decision-making. Strong analytical skills and knowledge of finance or economics are typically required.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

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

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What are some common challenges faced by professionals in Quantitative Analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What jobs pay 500,000 a year in the US?

In quantitative analytics, senior roles such as Quantitative Research Directors, Chief Investment Officers, or Portfolio Managers at hedge funds and investment firms can earn $500,000 or more annually, often including bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and strong skills in programming, statistical analysis, and financial modeling.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

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Quantitative Analytics jobs near you
Quantitative Analytics and Model Expert - Asset Liability Management

Quantitative Analytics and Model Expert - Asset Liability Management

PNC Bank

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd 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 and Model Expert within PNC's Market Risk Oversight organization, you will be based in Pittsburgh, PA.
This role provides second-line oversight of Interest Rate Risk in the Banking Book, focusing on NII and EVE frameworks. The position requires strong quantitative skills, technical proficiency, and the ability to collaborate across multiple functions.
Responsibilities
Support the Head of IRRBB in executing risk oversight strategy.
Develop analytics and automation using Python and SQL.
Monitor IRRBB exposures and validate adherence to limits.
Quantify and analyze risks including deposit modeling, rate models, OAS, and mortgage portfolios.
Partner with Front Office, Finance, IT, Legal, Compliance, and other stakeholders.
Contribute to CCAR processes, regulatory reviews, and governance forums.
Qualifications
8 years of experience in IRRBB, Market Risk, ALM, or Treasury.
Strong knowledge of NII and EVE frameworks.
Technical proficiency in Python and SQL; familiarity with QRM, Aladdin, PolyPaths, and Murex is a plus.
Bachelor's or Master's degree in Finance, Economics, or quantitative fields.
Strong communication and collaboration skills; growth mindset.PNC 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
  • Provides strategic and analytical insights around quantitative analyses, processes, and validations. Reviews complex quantitative analyses and models and engages with the Line of Business to enhance model development by incorporating business feedback.
  • Oversees the development of new model frameworks by supporting the line of business and provides consultative feedback around improvements. Reviews any recommended changes to existing models. Conducts executive level communication during the course of the review.
  • Performs the most complex 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 and provides analytical insight into potential areas of improvement. Reviews validation of existing models and assesses model risks.
  • Reviews the evaluations of identified model risks and provides high level consultation around recommended conclusions on strengths and limitations of the model.
  • Provides consultative feedback around the preparation and analysis of regulatory compliance documents.

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. Higher level education such as a Masters degree, or PhD is desirable. Industry experience is typically 8 + years. 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.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)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.

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