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Quantitative Analytics Jobs (NOW HIRING)

KeyBank

Quantitative Analytics Associate

Brooklyn, OH · On-site

$69K - $105K/yr

The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What ...

Keybank

Quantitative Analytics Associate

Amherst, NY · On-site

$69K - $105K/yr

The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What ...

Keybank

Quantitative Analytics Associate

Brooklyn, OH · On-site

$69K - $105K/yr

The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What ...

Keybank

Quantitative Analytics Associate

Cleveland, OH

$69K - $105K/yr

The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Collabera

Quantitative Analyst

Charlotte, NC · Hybrid

Pay-range: 75-80/hr This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology ...

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All JobsQuantitative Analytics Jobs

Quantitative Analytics information

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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.

More about Quantitative Analytics jobs
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What states have the most Quantitative Analytics jobs? States with the most job openings for Quantitative Analytics jobs include:
What job categories do people searching Quantitative Analytics jobs look for? The top searched job categories for Quantitative Analytics jobs are:
Quantitative Analytics jobs near you
Quantitative Analytics Specialist

Quantitative Analytics Specialist

TalentBridge

Charlotte, NC

Other

Posted 8 days ago

Job description

Quantitative Model Developer – Risk Analytics & Capital Markets

Location: 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

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