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Quantitative Analytics Analyst Jobs (NOW HIRING)

PNC Bank

Quantitative Analytics Model Expert

Manhattan, NY · On-site

$159K - $296K/yr

As a Quantitative Analytics Model Expert within PNC's Market Risk Management organization, you will be based in New York, NY. PNC is an in-office company that fosters a supportive culture where ...

Collabera LLC

Quantitative Analyst

Charlotte, NC · On-site

This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology development within ...

Collabera

Quantitative Analyst

Charlotte, NC · On-site

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 ...

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

$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

$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 ...

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All JobsQuantitative Analytics Analyst Jobs

Quantitative Analytics Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do quantitative analytics analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for quantitative analytics 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 are some common challenges faced by Quantitative Analytics Analysts when working with large data sets?

Quantitative Analytics Analysts often encounter challenges related to data quality, such as incomplete or inconsistent data, which can impact the accuracy of their analyses. Managing and processing massive data sets requires familiarity with advanced analytical tools and programming languages like Python, R, or SQL. Additionally, effectively communicating complex quantitative findings to non-technical stakeholders can be demanding, so strong visualization and presentation skills are important. Analysts typically collaborate with data engineers, risk managers, and business strategists to ensure their models are both robust and actionable.

What are Quantitative Analytics Analysts?

Quantitative Analytics Analysts are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often within the finance or business sector. They develop and implement models to assess risk, forecast trends, and inform decision-making. Their work is crucial for organizations that rely on data-driven strategies, such as banks, investment firms, and consulting companies. Quantitative Analytics Analysts often collaborate with other teams to provide actionable insights and optimize business processes.

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

To thrive as a Quantitative Analytics Analyst, you need strong analytical skills, a solid foundation in mathematics or statistics, and usually a degree in a quantitative field such as finance, economics, or computer science. Familiarity with programming languages like Python or R, data analysis tools, and statistical software, as well as experience with databases such as SQL, is highly valued. Attention to detail, problem-solving ability, and effective communication skills help analysts interpret data and convey complex findings clearly. These skills are essential for accurately modeling data, informing business decisions, and driving actionable insights in data-driven environments.

What is the difference between Quantitative Analytics Analyst vs Data Analyst?

AspectQuantitative Analytics AnalystData Analyst
Required CredentialsBachelor's or master's in finance, statistics, or related fields; proficiency in statistical softwareBachelor's in data science, statistics, or related fields; strong Excel and SQL skills
Work EnvironmentFinancial firms, investment banks, hedge fundsBusiness, marketing, healthcare, tech companies
Employer & Industry UsageUsed in finance and investment sectors for modeling and risk analysisUsed across various industries for data reporting and insights

While both roles analyze data, Quantitative Analytics Analysts focus on complex financial modeling and risk assessment using advanced statistical methods, often in finance. Data Analysts handle broader data collection and reporting tasks across industries. The roles overlap in data skills but differ in industry focus and complexity.

More about Quantitative Analytics Analyst jobs
What states have the most Quantitative Analytics Analyst jobs? States with the most job openings for Quantitative Analytics Analyst jobs include:
What job categories do people searching Quantitative Analytics Analyst jobs look for? The top searched job categories for Quantitative Analytics Analyst jobs are:
Quantitative Analytics Analyst jobs near you
Infographic showing various Quantitative Analytics Analyst job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analytics Specialist

Quantitative Analytics Specialist

TalentBridge

Charlotte, NC • On-site

Other

Posted 19 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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