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Quants Analyst Jobs (NOW HIRING)

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at ...

The Team SAI's quantitative research analysts work either directly on an asset class or product investment teams, the central quantitative research group, or on the risk team. The team consists of ...

Quantitative Analyst The role, quantitative analyst, is ideal for someone who enjoys finding trends in large datasets. You will be able to take action on your findings to see immediate results ...

Quantitative Analyst The role, quantitative analyst, is ideal for someone who enjoys finding trends in large datasets. You will be able to take action on your findings to see immediate results ...

As a Quantitative Analytics & Model Analyst Senior within PNC's Data Model Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Cleveland, OH; or Tyson's Corner, VA. Key ...

Position Specific Description The Quantitative Analyst develops models and prices energy derivatives. Designs and performs quantitative studies and analyses of spot/forward prices and volatilities ...

Role Overview We are seeking a highly analytical Quantitative Analyst (full-time) to join our investment team. This is a distributed team environment -- team members operate across locations ...

Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and ...

Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and ...

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Quants Analyst information

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$35.5K

$99.2K

$127K

How much do quants analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for quants analyst in the United States is $99,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $126,500.00 per year, depending on experience, location, and employer.

Is a quant analyst high paying?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in investment banks and hedge funds, making it a lucrative career for those with advanced quantitative expertise.

What exactly does a quants analyst do?

A quants analyst uses mathematical models, statistical techniques, and programming skills to analyze financial data and develop trading strategies or risk management tools. They often work with large datasets, employ tools like Python or R, and require strong quantitative and analytical skills. Their work helps firms make data-driven investment decisions and manage financial risks.

What is the difference between Quants Analyst vs Data Analyst?

AspectQuants AnalystData Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often requires advanced degreesBachelor's in Data Science, Statistics, or related field; sometimes certifications
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including finance, marketing, healthcare
Employer & Industry UsagePrimarily finance and trading firmsBroadly used across multiple sectors
Common Search & Comparison IntentUnderstanding technical skills and financial modelingFocus on data analysis tools and business insights

While both Quants Analysts and Data Analysts work with data, Quants Analysts focus on financial modeling and quantitative strategies within finance firms, often requiring advanced degrees. Data Analysts have a broader role across industries, emphasizing data interpretation and reporting using various tools. The key difference lies in their industry focus and technical expertise.

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

Quants analysts in finance and investment banking can earn $500,000 or more annually, especially with bonuses and performance incentives. High-level roles often require advanced degrees, strong quantitative skills, and experience with financial modeling, programming, and trading platforms.

Is 40 too old to become a quant?

Age is not a strict barrier to becoming a quantitative analyst, as the role values skills in mathematics, programming, and finance, which can be developed at any age. Many quants transition from related fields such as engineering, physics, or data science, often pursuing additional training or certifications like CFA or advanced degrees. Success depends on your skills, experience, and ability to adapt to the fast-paced, technical environment of quantitative finance.
More about Quants Analyst jobs
What cities are hiring for Quants Analyst jobs? Cities with the most Quants Analyst job openings:
What states have the most Quants Analyst jobs? States with the most job openings for Quants Analyst jobs include:
Quantitative Analytics Specialist

Quantitative Analytics Specialist

TalentBridge

Charlotte, NC โ€ข On-site

Other

Posted 19 days ago


Job description

Quantitative Model Developer โ€“ Risk Analytics & Capital Markets

Location:ย Charlotte, NC - Onsite
Duration: Long-Term Contract
Industry: Financial Services / Capital Markets

About the Opportunity

We are seeking an experienced Quantitative Model Developer to join a high-performing Risk & Analytics team supporting enterprise-level capital markets and exposure management initiatives. This role is ideal for a quantitative professional who enjoys solving complex mathematical problems, developing sophisticated risk methodologies, and building scalable analytical solutions in a fast-paced financial environment.

You will work closely with quantitative analysts, risk managers, technology teams, and senior business stakeholders to enhance critical risk analytics frameworks used across complex financial products and portfolios.

This position offers excellent visibility, challenging analytical work, and the opportunity to contribute directly to strategic decision-making across the organization.


Key ResponsibilitiesQuantitative Modeling & Analytics
  • Develop, enhance, and maintain quantitative models used for exposure measurement, risk assessment, and portfolio analytics.
  • Analyze existing methodologies and identify opportunities for optimization and performance improvement.
  • Apply advanced statistical, probabilistic, and stochastic modeling techniques to solve complex business and risk management challenges.
  • Validate assumptions, derive mathematical models, and evaluate model performance.
  • Support model governance, documentation, testing, and validation activities.
Python Development & Analytical Solutions
  • Design and develop Python-based analytical libraries, quantitative tools, and reusable modeling frameworks.
  • Build prototypes and collaborate with technology teams to support production implementation.
  • Leverage automation and modern development practices to improve efficiency and scalability.
  • Utilize SQL to extract, analyze, and validate large datasets used in quantitative models.
Stakeholder Collaboration
  • Partner with risk management, quantitative research, technology, and business teams to deliver analytical solutions.
  • Translate business requirements into technical and quantitative specifications.
  • Communicate complex quantitative concepts to both technical and non-technical audiences.
  • Support strategic initiatives through data-driven analysis and model enhancements.
Operational Excellence
  • Deliver model enhancements, analytics, and documentation within established timelines.
  • Support evolving business priorities and analytical requests.
  • Ensure compliance with internal controls, governance standards, and risk management frameworks.
  • Mentor junior analysts and contribute to knowledge-sharing initiatives.

Required Qualifications
  • 5+ years of experience in Quantitative Analytics, Quantitative Modeling, Financial Engineering, Risk Analytics, or a related field.
  • Strong Python programming skills with experience developing scalable analytical solutions.
  • Advanced SQL skills and experience working with large and complex datasets.
  • Solid foundation in:
    • Mathematics
    • Statistics
    • Probability Theory
    • Stochastic Modeling
    • Quantitative Analysis
  • Experience developing, enhancing, implementing, or validating quantitative models.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications
  • Experience supporting:
    • Risk Analytics
    • Exposure Analytics
    • Capital Markets
    • Trading Analytics
    • Counterparty Risk
    • Market Risk
    • Credit Risk
  • Experience working with derivatives, structured products, or other complex financial instruments.
  • Familiarity with modern software development practices and AI-assisted development tools.
  • Prior experience mentoring analysts or developers.
  • Advanced degree in:
    • Mathematics
    • Statistics
    • Financial Engineering
    • Physics
    • Economics
    • Computer Science
    • Related quantitative discipline

Desired Technical Skills
  • Python
  • SQL
  • Quantitative Modeling
  • Statistical Analysis
  • Stochastic Processes
  • Risk Analytics
  • Financial Engineering
  • Data Analysis
  • Model Validation
  • Capital Markets
  • Exposure Modeling
  • Financial Mathematics