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Principal Quantitative Analyst Jobs (NOW HIRING)

Develops quantitative analytics using Python and SQL to compute portfolio-level risk measures and ... Principal Quantitative Developer (or closely related occupation) performing quantitative and ...

Principal Associate - Quantitative Analyst At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit ...

Travel 10 percent or less Principal Duties & Responsibilities • Maintains and enhances asset ... analyses using existing quantitative tools and models to inform business and investment decisions ...

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Principal Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do principal quantitative analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for principal quantitative analyst 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 is a principal quantitative analyst?

A Principal Quantitative Analyst is a senior-level expert who uses advanced mathematical, statistical, and computational techniques to analyze data and develop models for decision-making, typically in finance, risk management, or technology sectors. They often lead teams, design complex quantitative strategies, and provide insights that inform business strategies or investment decisions. Their work may involve creating algorithms for trading, assessing risk, or optimizing portfolios. Principal Quantitative Analysts are expected to have a strong background in mathematics, statistics, programming, and relevant industry experience. They also mentor junior analysts and collaborate with other departments to implement quantitative solutions.

What are the key skills and qualifications needed to thrive as a principal quantitative analyst?

To thrive as a Principal Quantitative Analyst, you need advanced statistical and mathematical expertise, a graduate degree in a quantitative field, and significant experience in financial modeling. Mastery of programming languages such as Python, R, or MATLAB, and familiarity with data analytics platforms and quantitative finance tools like Bloomberg or SAS, are typically required. Strong analytical thinking, problem-solving abilities, and excellent communication skills set top performers apart in this role. These competencies are essential for developing robust quantitative models and translating complex data into actionable insights that drive business strategy.

How does a principal quantitative analyst typically collaborate with other teams within a financial organization?

A Principal Quantitative Analyst frequently works cross-functionally, partnering with traders, portfolio managers, risk management, and IT teams to develop and implement complex quantitative models. They often provide guidance to junior analysts and serve as a key advisor in strategic decision-making processes. Effective collaboration ensures that models are aligned with business objectives, regulatory standards, and real-time market conditions. This role requires strong communication skills to explain technical concepts to non-quantitative stakeholders and to translate analytical insights into actionable business strategies.

What is the difference between Principal Quantitative Analyst vs Quantitative Analyst?

AspectPrincipal Quantitative AnalystQuantitative Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in finance, mathematics, or related fields; certifications like CFA or FRM are commonUsually holds a bachelor's or master's degree in a relevant field; certifications are optional but beneficial
Work EnvironmentLeads complex projects, provides strategic insights, and mentors junior staff within financial institutions or hedge fundsPerforms data analysis, develops models, and supports trading or risk management teams
Industry UsageUsed in investment banks, asset management firms, hedge funds, and financial servicesCommon across similar financial sectors, often as entry to mid-level roles

The Principal Quantitative Analyst typically holds more experience, leads strategic projects, and has greater responsibilities compared to a Quantitative Analyst. While both roles require strong analytical skills and relevant credentials, the Principal role emphasizes leadership and strategic input within financial organizations.

Is a principal quantitative analyst in demand?

Principal quantitative analysts are in high demand across finance, technology, and consulting sectors due to their expertise in data analysis, modeling, and programming skills in languages like Python and R. Their role is critical for developing trading strategies, risk management, and decision-making processes, often requiring advanced degrees and certifications such as CFA or FRM. The demand is expected to grow as organizations increasingly rely on data-driven insights.

What cities are hiring for Principal Quantitative Analyst jobs?

Cities with the most Principal Quantitative Analyst job openings:

What are popular job titles related to Principal Quantitative Analyst jobs?

For Principal Quantitative Analyst jobs, the most frequently searched job titles are:

Infographic showing various Principal Quantitative Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Principal Quantitative Analyst - Global Finance

Mclean, VA • On-site

Socket.dev
Network Security • 1 - 10 employees

Other

Posted 16 days ago


Key responsibilities

  • Partner with various lines of business to develop and enhance modeling and analytical frameworks.

  • Create novel analytical solutions to challenging business problems across Capital One entities.

  • Apply quantitative methods and automation solutions to improve business performance and process efficiencies.


Job description

Principal Quantitative Analyst - Global Finance

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help in our journey with modeling, analytical and/or model implementation skills to join our finance team.

Responsibilities and Skills:

  • Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as derivatives models and fixed income models.
  • Work across Capital One entities to create novel analytical solutions to challenging business problems.
  • Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
  • Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.
  • Identify opportunities to apply quantitative methods or machine learning to improve business performance.
  • Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.
  • Providing technical guidance to business leadership.
  • Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
  • Understand and navigate Risk Management Software to enable business analysis.

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:

  • Deep understanding of quantitative modeling in relation to finance, capital markets, derivatives and investment portfolio modeling principles.
  • Extensive experience in Python or other object-oriented language.
  • Ability to clearly communicate modeling results to a wide range of audiences.
  • Drive to develop and maintain high quality and transparent model documentation.
  • Strong written and verbal communication skills.
  • Strong presentation skills.
  • Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:
    • A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • At least 3 years of experience in each of the following skills through education or experience:
    • Statistical or econometric modeling
    • Linear and logistic regression
    • Programming in R, Python or SQL
    • Presenting statistical concepts and research results to non-statistical audience
  • At least 3 years of experience in at least 3 of the following skills:
    • Survival analysis modeling
    • Time-series analysis
    • Panel data (longitudinal data or cross-sectional time-series data) analysis
    • Cross-sectional data analysis
    • Machine learning
    • Analysis and management of large datasets (>1M records)

Preferred Qualifications:

  • 4 years of experience with Python, R or other statistical analyst software
  • 4 years of experience manipulating and analyzing large data sets

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Prin Assoc, Quant Analysis

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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