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Remote Quantitative Researcher Jobs in Remote, OR

Nexpro Technologies Inc

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Position Overview The Biostatistician will collaborate and guide research projects, providing ... equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Nexpro Technologies Inc

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Position Overview The Biostatistician will collaborate and guide research projects, providing ... equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Atos

Data & AI Technical Advisor - Databricks

OR · On-site +1

Its expertise and services support the development of knowledge, education and research in a ... North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory ...

Atos

Data & AI Technical Advisor - Databricks

OR · On-site +1

Its expertise and services support the development of knowledge, education and research in a ... North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory ...

SOSi

Data Scientist

OR · On-site +1

Full remote flexibility. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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All JobsQuantitative Researcher JobsRemote Quantitative Researcher JobsRemote Quantitative Researcher Jobs in Remote, OR

Remote Quantitative Researcher information

See Remote, OR salary details

$52.4K

$119K

$196.3K

How much do remote quantitative researcher jobs pay per year?

As of May 30, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Quantitative Researcher, and why are they important?

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

How does a Remote Quantitative Researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

What is a Remote Quantitative Researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.

What is the difference between Remote Quantitative Researcher vs Remote Data Analyst?

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

What are popular job titles related to Remote Quantitative Researcher jobs in Remote, OR? For Remote Quantitative Researcher jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Researcher jobs in Remote, OR look for? The top searched job categories for Remote Quantitative Researcher jobs in Remote, OR are:
Remote Quantitative Researcher jobs near you
Infographic showing various Remote Quantitative Researcher job openings in Remote, OR as of May 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 4% Physical, and 96% 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.

Remote

$185K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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.