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Quantitative Researcher Jobs in Remote, OR (NOW HIRING)

Lumen Technologies

Digital Experience Strategist

OR · On-site

$84K - $112K/yr

You'll partner closely with UX designers, researchers, demand generation, and web development to ... Comfort working from both qualitative and quantitative inputs to shape strategy * Preferred:

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

... quantitative field. * Experience operating enterprise-scale AI solutions in regulated or security ... Contributions to AI research, patents, publications, or open-source projects. Join Lumen's AI ...

All JobsQuantitative Researcher JobsQuantitative Researcher Jobs in Remote, OR

Quantitative Researcher information

See Remote, OR salary details

$52.4K

$119K

$196.3K

How much do quantitative researcher jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative researcher in Remote, OR is $119,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $152,300.00 per year, depending on experience, location, and employer.

What Is a Quantitative Researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What is a quantitative researcher job?

A quantitative researcher analyzes numerical data to identify patterns and inform decision-making, often working in finance, marketing, or technology sectors. They use statistical tools, programming languages like Python or R, and mathematical models to develop insights and support strategic goals.

What are some common challenges Quantitative Researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

What are quantitative researchers?

Quantitative researchers are professionals who apply mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, investment, or scientific research. They design models and algorithms to identify trends, make predictions, and inform decision-making. In finance, quantitative researchers, often called 'quants,' develop trading strategies and risk management tools based on quantitative analysis. Their work typically involves programming, data analysis, and a strong understanding of mathematical concepts. Quantitative researchers are crucial for organizations that rely on data-driven insights.

What is the work of a quant researcher?

A quantitative researcher analyzes financial data and develops mathematical models to inform investment strategies or risk management. They use statistical tools, programming languages like Python or R, and large datasets to identify patterns and make data-driven decisions. Strong analytical skills and knowledge of finance and statistics are essential for this role.

How much do quants get paid?

Quantitative researchers typically earn between $80,000 and $200,000 annually, with experienced professionals and those at hedge funds or investment banks earning higher salaries and bonuses. Compensation often depends on experience, location, and performance, and may include additional incentives such as profit sharing or stock options.

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

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

Do you need a PhD to be a quant researcher?

A PhD is not strictly required to become a quantitative researcher, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or finance. Strong programming skills, statistical knowledge, and experience with data analysis tools are also important for the role.
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Quantitative Researcher jobs near you
Infographic showing various Quantitative Researcher job openings in Remote, OR as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $119,048 per year, or $57.2 per hour.
Remote - Sr. FinTech Product Manager (Retail Trading Platform)

Remote - Sr. FinTech Product Manager (Retail Trading Platform)

William O'Neil + Co.

OR • Remote

$185K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

About the Role


We are seeking a Senior Product Manager to lead the development and relaunch of a next-generation, AI-driven fintech trading and research platform. This role will own the end-to-end product lifecycle, delivering a mobile-first experience that integrates trading, research, and personalized insights for retail investors.


You will play a critical role in shaping product strategy, driving execution across global teams, and delivering measurable business outcomes including user growth, engagement, and revenue. This is a high-impact role operating within a fast-paced, cross-functional environment at the intersection of fintech, data, and AI innovation.


What You’ll Do

Product Strategy & Execution

  • Define and execute the product roadmap for a mobile-first trading and research platform
  • Translate business goals into product requirements, user stories, and prioritized backlogs
  • Lead end-to-end product delivery from concept through launch and continuous optimization

Cross-Functional Leadership

  • Partner with engineering teams across the U.S., India, and China to deliver high-quality product releases
  • Collaborate with data science, brokerage operations, marketing, and compliance teams
  • Drive agile development processes including sprint planning, backlog management, and release execution


Trading Platform & Brokerage Integration

  • Support integration with brokerage systems to enable seamless onboarding, funding, and trade execution
  • Ensure alignment with regulatory requirements and operational workflows within trading environments


AI-Driven Product Innovation

  • Lead the development of AI-powered features such as:
  • Personalized investment insights
  • Chart intelligence and pattern recognition
  • Earnings and financial data analysis
  • Partner with data science teams to embed advanced analytics and machine learning into the product experience


Monetization & Growth

  • Develop and optimize monetization strategies including subscription models, feature tiering, and user incentives
  • Track and improve key performance metrics such as:
  • User acquisition and funded accounts
  • Engagement and retention
  • Subscription conversion and revenue growth


Performance & Stakeholder Communication

  • Analyze product performance and drive data-informed decisions
  • Provide regular updates to leadership on roadmap progress, product performance, and business impact


What You Bring

Required Qualifications

  • Bachelor’s degree in Business, Finance, Engineering, Computer Science, or related field
  • 5+ years of product management experience, preferably in fintech, trading platforms, or financial services
  • Proven experience owning the full product lifecycle for customer-facing digital products
  • Strong understanding of trading platforms, brokerage workflows, and mobile product development
  • Experience leading cross-functional teams in agile environments


Preferred Qualifications

  • Experience building or scaling retail trading or investment platforms
  • Experience integrating AI or machine learning features into production products
  • MBA or advanced degree in a related field


Key Skills & Competencies

  • Product roadmap development and execution
  • Agile and scrum methodologies
  • Data-driven decision-making and product analytics
  • Strong understanding of fintech and trading ecosystems
  • Experience working with global engineering teams
  • Excellent communication and stakeholder management skills
  • High ownership, accountability, and execution focus
  • Familiarity with AI-driven product capabilities and emerging technologies


Travel Requirements: Willingness to travel up to 25%


Why Join Us

  • Opportunity to build a next-generation AI-driven trading platform
  • High visibility role with direct impact on product and business outcomes
  • Collaborative, fast-paced environment with global teams
  • Competitive compensation and growth opportunities

Company Description

William O’Neil + Co. Incorporated (WON) is an independent advisory firm providing U.S. and international equity research recommendations to many of the world’s top institutional fund managers. William O’Neil + Co.’s recommendations draw from a rich history of more than 55 years of equity research experience using the O’Neil Methodology, a unique combination of fundamental and technical analysis proven over the past half-century to identify outperformers in the stock market. William O’Neil + Co. developers and analysts conceptualize, model, and integrate unique quantitative research discoveries into William O’Neil + Co.’s historic database and PANARAY® research platform. William O’Neil + Co. is regulated by the Securities and Exchange Commission, The Financial Conduct Authority, and the State of California.