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Quantitative Research Jobs in Remote, OR (NOW HIRING)

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:

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 ...

Business Analyst

OR · On-site +1

$65K - $85K/yr

... Research, Cyber, C5ISR, Program & Acquisition Management services and solutions to a diverse ... quantitative contributions that will help feed later proposals and advocate for their current ...

Quantitative Research information

See Remote, OR salary details

$81.4K

$100K

$127.9K

How much do quantitative research jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quantitative research in Remote, OR is $100,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $102,900.00 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 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 statistical software, data modeling, and strong analytical abilities.

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 popular job titles related to Quantitative Research jobs in Remote, OR? For Quantitative Research jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Quantitative Research jobs in Remote, OR look for? The top searched job categories for Quantitative Research jobs in Remote, OR are:
What cities near Remote, OR are hiring for Quantitative Research jobs? Cities near Remote, OR with the most Quantitative Research job openings:
Infographic showing various Quantitative Research job openings in Remote, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $100,028 per year, or $48.1 per hour.

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

Re-posted 21 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.