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Quantitative Research Jobs in Oregon (NOW HIRING)

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and procurement ...

OCHIN

Research Associate

Portland, OR · On-site

Apply quantitative and qualitative research methods to support study objectives. * Manage data collection, transfers, and quality control processes. * Ensure data integrity and compliance with study ...

OCHIN

Research Associate

Portland, OR · On-site +1

Apply quantitative and qualitative research methods to support study objectives. * Manage data collection, transfers, and quality control processes. * Ensure data integrity and compliance with study ...

OCHIN

Research Associate

Portland, OR · On-site +1

Apply quantitative and qualitative research methods to support study objectives. * Manage data collection, transfers, and quality control processes. * Ensure data integrity and compliance with study ...

Knit

Senior Research Director

OR · On-site +1

With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands - including Amazon, T-Mobile, Mars, NASCAR ...

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Quantitative Research information

See Oregon salary details

$86.2K

$105.9K

$135.3K

How much do quantitative research jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative research in Oregon is $105,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $108,900.00 per year, depending on experience, location, and employer.

What is a quantitative research?

A Quantitative Research job involves analyzing large datasets using mathematical models, statistical techniques, and programming to identify patterns, trends, and insights. Professionals in this field work in industries like finance, technology, and economics to develop data-driven strategies and predictions. They often use programming languages such as Python, R, or MATLAB and collaborate with traders, engineers, and analysts to optimize decision-making.

What does a quantitative research do?

A typical day in Quantitative Research involves analyzing large datasets, designing statistical models, back-testing strategies, and collaborating closely with other researchers, data scientists, and sometimes software engineers. You may spend time coding, conducting peer review of models, presenting findings to stakeholders, and refining research methodologies based on feedback or new market developments. The work environment is often collaborative, intellectually stimulating, and fast-paced, especially in industries like finance or technology where quick decision-making is key. This variety ensures that each day brings both new challenges and opportunities to learn and make a tangible impact on business outcomes.

What are the key skills and qualifications needed to thrive in quantitative research?

To thrive in Quantitative Research, a solid background in mathematics, statistics, and data analysis is essential, often complemented by an advanced degree in a quantitative field such as mathematics, finance, or computer science. Proficiency in statistical programming languages like Python or R, familiarity with data visualization tools, and experience with large data sets are commonly required. Strong problem-solving ability, attention to detail, and effective communication skills help analysts distill complex findings into actionable insights. These competencies are crucial for accurately interpreting data, delivering robust research, and driving decision-making in data-driven environments.

What careers use quantitative research?

Quantitative research is used in careers such as data analyst, financial analyst, market researcher, and economist, where analyzing numerical data to inform decisions is essential. These roles often require skills in statistics, data analysis tools, and programming languages like Python or R.

What are the most commonly searched types of Quantitative Research jobs in Oregon?

The most popular types of Quantitative Research jobs in Oregon are:

What are popular job titles related to Quantitative Research jobs in Oregon?

For Quantitative Research jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Quantitative Research jobs in Oregon look for?

The top searched job categories for Quantitative Research jobs in Oregon are:

What cities in Oregon are hiring for Quantitative Research jobs?

Cities in Oregon with the most Quantitative Research job openings:

Quantitative Research jobs near you
Infographic showing various Quantitative Research job openings in Oregon as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $105,863 per year, or $50.9 per hour.

Digital-Asset Quantitative Trader -- Portland

Anemoi Predictive Technology LLC

Portland, OR • On-site

$185 - $280/hr

Other

Posted yesterday

New

Job description

This fully remote Digital-Asset Quantitative Trader opening serves Portland, OR and will build a controlled institutional process for liquid digital-asset markets. Applicants must be based in the Portland, OR area. The position adds Pacific Time supervision of late-session behavior and asynchronous research delivery.

Compensation and Benefits
  • Base salary: $185,000–$280,000 USD, based on experience
  • Work arrangement: Fully remote; applicants must be based in the Portland, OR area
  • Experience: 5+ years
  • Additional compensation: Performance-bonus and equity eligibility based on role and level
About the Role

The Portland, OR position owns continuous-market coverage, venue and counterparty exposure, funding, custody constraints, and weekend controls. Its working schedule covers Pacific Time supervision of late-session behavior and asynchronous research delivery. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Portland Operating Focus

The Portland opening emphasizes thoughtful written review, durable remote collaboration, and careful production change. Much of the collaboration is asynchronous, so written work must explain the question, method, evidence, and limitation without relying on verbal context. Pacific Time coverage includes the market close and later validation. A proposed production change is not ready until another specialist can reproduce the result and challenge its assumptions. For this role, that means direct ownership of continuous-market exposure, fragmented liquidity, venue risk, and shift handoffs during Pacific Time supervision of late-session behavior and asynchronous research delivery.

First Review Cycle

The first review cycle for Portland, OR starts with Pacific Time supervision of late-session behavior and asynchronous research delivery. It will establish a measured baseline for continuous-market exposure, fragmented liquidity, venue risk, and shift handoffs before the team proposes an operating change. You will first complete this task: Monitor positions, liquidity, venue exposure, and funding. You will then complete this task: Evaluate execution across centralized venues. The Portland opening emphasizes thoughtful written review, durable remote collaboration, and careful production change. An unexpected result stays open until the evidence supports a disposition. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision to continuous-market coverage, venue and counterparty exposure, funding, custody constraints, and weekend controls.

Responsibilities
  • Monitor positions, liquidity, venue exposure, and funding
  • Evaluate execution across centralized venues
  • Design weekend and overnight operating controls
  • Research market structure while respecting legal and counterparty limits
  • Own continuous-market exposure, fragmented liquidity, venue risk, and shift handoffs during Pacific Time supervision of late-session behavior and asynchronous research delivery.
Required Qualifications
  • Five or more years in quantitative trading, including digital assets
  • Experience with continuous markets, exchange APIs, and venue risk
  • Strong Python, statistics, and operational discipline
Preferred Qualifications
  • Experience with custody workflows, funding markets, and fragmented liquidity
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