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Data Scientist Quantitative Analyst Jobs (NOW HIRING)

$150 - $195/hr

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative ... Practical experience with graph analytics, network modeling tools, and interconnected data ...

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Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Bachelor's degree in economics, statistics, data science, computer science, or a related field ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

We develop trading algorithms in Python that combine big data analytics, alternative data, and ... MSc or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a ...

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Bachelor's degree in economics, statistics, data science, computer science, or a related field ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ...

At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning * Proficiency with tools such as ...

Quantitative Analyst

$135K - $150K/yr

The Quantitative Analyst will work together with the analytics team, data team, and business ... Bachelor's in Mathematics, Computer Science, Finance, Economics, or similar field with a strong ...

We need smart, quantitative people to rip through data and find trends and nuggets of insight that ... Computer Science, or another technical major, or demonstrated analytical and technical ability ...

... to analytics, quantitative analysis, data science, artificial intelligence or machine learning • Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab • Demonstrated experience ...

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Bachelor's degree in economics, statistics, data science, computer science, or a related field ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Bachelor's degree in economics, statistics, data science, computer science, or a related field ... quantitative field Foundational knowledge of data analysis concepts, statistics, and problem ...

We need smart, quantitative people to rip through data and find trends and nuggets of insight that ... Science, or another technical major, or demonstrated analytical and technical ability * Strong ...

Northbrook IL Jobs, Quantitative Analyst, R, Python, Quant, Quantitative, Large Data Sets, MySQL ... SQL, Data Integrity, Regression, Performance Testing, Financial Markets, Trading, Illinois ...

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Data Scientist Quantitative Analyst information

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$29.5K

$125.5K

$194.5K

How much do data scientist quantitative analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist quantitative analyst in the United States is $125,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $154,500.00 per year, depending on experience, location, and employer.

What is a data scientist quantitative analyst?

A Data Scientist Quantitative Analyst combines data science and quantitative analysis to extract insights from large datasets, build predictive models, and support data-driven decision-making. They use statistical methods, machine learning, and programming skills to analyze financial markets, business performance, or customer behavior. Typically, they work in finance, tech, or consulting industries to solve complex problems and optimize strategies.

What are the typical day-to-day responsibilities of a data scientist quantitative analyst?

On a daily basis, a Data Scientist Quantitative Analyst manages and analyzes large datasets, develops predictive models, and interprets quantitative results to provide actionable insights for their organization. This role often involves collaborating with product managers, engineers, and business stakeholders to define project goals, design analytical approaches, and present findings in a clear, impactful manner. You may also be expected to automate data processes, maintain documentation, and stay updated on the latest analytical and industry trends. The work is dynamic and requires a balance of independent research and team-based problem solving.

What are the key skills and qualifications needed to thrive in the data scientist quantitative analyst position, and why are they important?

To thrive as a Data Scientist Quantitative Analyst, you need a solid background in statistics, data analysis, machine learning, and programming (often in Python or R), typically supported by an advanced degree in a quantitative field. Experience with data visualization tools, statistical modeling platforms, and database systems, as well as familiarity with industry certifications such as CFA or related analytics credentials, are highly valued. Strong problem-solving, critical thinking, and effective communication skills help professionals present complex findings and work collaboratively across departments. These abilities are crucial for transforming data into actionable business insights and supporting strategic decision-making.

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Infographic showing various Data Scientist Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $125,500 per year, or $60.3 per hour.

Quantitative Analyst SETA

Ventus Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Ventus Executive Solutions is a dynamic small business at the forefront of innovation and consulting. We believe our employees’ success is integral to our mission, which is why we prioritize work-life balance, personal development, and fostering a sense of belonging. In addition to providing opportunities to thrive, we offer competitive salaries and comprehensive benefits to attract and retain top talent ready to make a meaningful impact. As part of the Ventus Solutions team, you’ll collaborate with government and industry leaders to develop constructive architecture models that inform decision-making at the highest levels of the Department of Defense. As an Employee Stock Ownership Plan (ESOP) we value curiosity, collaboration, and excellence, and we’re committed to supporting your professional growth through mentorship, career development, and a culture of continuous learning. Join a team where your ideas matter, your expertise drives impact, and your work advances the mission. 

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative program office. You will integrate complex, multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making. The position provides an opportunity to work at the intersection of quantitative economic modeling, data science, network analytics, intelligence analysis, and emerging technology. Join our innovative team and contribute to impactful national security initiatives. 

Work Location: Onsite: Arlington, VA

Travel:  Up to 15% 

Clearance: U.S. Citizenship required, Active TS w/SCI eligibility Clearance required, Active SAP Clearance preferred.


Pre-Requisites: Experience working at TS/SCI and SAP levels.

Required Experience:

  • 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 with large-scale data processing, multi-source data pipeline integration, and structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures, including Python/R quantitative libraries, graph databases, or network science frameworks.
  • Strong background working within or alongside the U.S. Intelligence Community, including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources spanning global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong written and oral communication skills, including executive-level PowerPoint briefings, with the ability to translate complex econometric and data models for senior defense stakeholders.

Desired Experience: 

  • 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 experience supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in a high-paced private-sector quantitative production environment, such as systematic investing or trading, real-time advertising 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.

The expected salary range for this position is $150,000 - $195,00. This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range. In addition to base pay, Ventus offers a comprehensive benefits package that includes healthcare benefits (medical, dental, and vision), ESOP participation, retirement plans, and generous paid time off.