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Quantitative Analyst Jobs (NOW HIRING)

Blue Sky Innovators

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Blue Sky Innovators

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Blue Sky Innovators

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$145K/yr

Conducts quantitative analysis of financial data and investment programs, including business valuations for public and private institutions. Education and Experience : Bachelor's degree in Accounting ...

Advisor Group

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Current Employees and Contractors Apply Here Osaic Careers Corporate Finance Opportunity in Financial Services Quantitative Analyst I Location(s): Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$145K/yr

Conducts quantitative analysis of financial data and investment programs, including business valuations for public and private institutions. Education and Experience : Bachelor's degree in Accounting ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Current Employees and Contractors Apply HereOsaic Careers Corporate Finance Opportunity in Financial Services Quantitative Analyst I Location(s): Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale ...

ECS

Quantitative Analyst SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA. The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program managers in the ...

Northwest

Sr. Quantitative Analyst

Columbus, OH · On-site

OH0713 NW Bancshares HQ, PA0258 Bellevue The Senior Quantitative Analyst II is responsible for contributing to and managing large projects related to the support, development, and maintenance of ...

Morningstar, Inc.

Lead Quantitative Analyst

Chicago, IL · On-site

$114K - $167K/yr

Use quant techniques, machine learning, portfolio construction, risk analytics, and statistical testing to turn investment ideas into durable, rules-based index methodologies. * Push the use of AI ...

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Quantitative Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do quantitative analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for 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 quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

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 a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

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

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.
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Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analyst SETA

Blue Sky Innovators

Arlington, VA • On-site

$195K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.

Requirements:

  • Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
  • Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks).
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders.
  • Top Secret clearance with SCI eligibility.

Preferred:

  • Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels.
  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines.
  • Prior background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in high paced private sector quantitative production environments such as systematic investing or trading, real time ad technology development or pharmacological optimization and customization.
  • Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

Responsibilities:

  • Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
  • Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
  • Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
  • Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
  • Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

The salary range for this position is $195,000-$300,000, per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.

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