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Remote Quantitative Analyst Jobs in Cranston, RI

Sr BI Analyst

Johnston, RI · On-site +1

$105K - $140K/yr

Ability to analyze quantitative and qualitative data and draw meaningful conclusions. Data Tools ... Hours and Work Schedule: (4 days in office, 1 day remote) Hours per Week: 40 Work Schedule: Monday ...

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Economics ...

Enterprise Data Analyst II

Carolina, RI · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... Builds dashboards to modernize analytics where appropriate. Enforces data policies and procedures ...

Enterprise Data Analyst II

Carolina, RI · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This ... Builds dashboards to modernize analytics where appropriate. Enforces data policies and procedures ...

Fully Remote - US-Based, Any time zone Ideal Candidate: 5+ YOE in GMP warehousing is a must have ... analytical and quantitative skills • Demonstrated personal initiative, self-motivation ...

Senior Structural Engineer

Newport, RI · On-site +1

$101K - $137K/yr

... two days remote). Dams in our clients' portfolios are in some of the most spectacularly scenic ... Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give ...

Senior Structural Engineer

Franklin, MA · On-site +1

$101K - $138K/yr

... two days remote). Dams in our clients' portfolios are in some of the most spectacularly scenic ... Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give ...

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... The developer works closely with business stakeholders, analytics teams, and data engineering ...

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Remote Quantitative Analyst information

See Cranston, RI salary details

$55.3K

$130.9K

$234.7K

How much do remote quantitative analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote quantitative analyst in Cranston, RI is $130,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a remote quantitative analyst?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What skills and qualifications are needed to be a remote quantitative analyst?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What challenges do remote quantitative analysts face and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What are popular job titles related to Remote Quantitative Analyst jobs in Cranston, RI?

For Remote Quantitative Analyst jobs in Cranston, RI, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Analyst jobs in Cranston, RI look for?

The top searched job categories for Remote Quantitative Analyst jobs in Cranston, RI are:

What cities near Cranston, RI are hiring for Remote Quantitative Analyst jobs?

Cities near Cranston, RI with the most Remote Quantitative Analyst job openings:

Infographic showing various Remote Quantitative Analyst job openings in Cranston, RI as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 7% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,529 per year, or $62.8 per hour.

Consultant - Quantitative Research Specialist/Pricing Research Analyst

MojoTech

Providence, RI • Remote

Contractor

Posted yesterday

New


Job description

About MojoTech
MojoTech is an innovative technology consulting firm that leverages strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.

We partner with our clients to discover and build tomorrow’s intelligent innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.


About the Role
MojoTech is hiring a remote Quantitative Research Specialist/Pricing Research Analyst as a contractor to lead willingness-to-pay research for AI product strategy assessments across a private equity portfolio. This role owns evidence-gathering: designing and running the structured pricing studies, including sourcing and surveying non-customers, that validate whether a net-new AI opportunity has real commercial pull beyond what qualitative signals alone can show.

Duration: 6-8 weeks.

What You'll Do

  • Design conjoint and Van Westendorp studies matched to the specific opportunity being tested
  • Design and conduct any supporting interviews needed to properly scope or validate a study
  • Source and recruit survey respondents who match the target buyer, including non-customers, using the right tools and channels to reach people who aren't already in a company's customer base
  • Leverage existing panel provider relationships and purpose-built pricing/choice research tools to stand up studies quickly
  • Use AI tools to accelerate study design and analysis, while critically checking that output for errors before it's used
  • Run the statistical analysis: conjoint utility calculations, Van Westendorp price-sensitivity curves
  • Interpret and caveat results correctly for a non-technical audience, and hand off findings the AI Strategist can incorporate into ranked opportunity lists

What You'll Bring

  • Demonstrated expertise running willingness-to-pay studies (conjoint, Van Westendorp), with a track record across multiple studies, ideally in B2B/SaaS or comparable contexts, including sample size and panel design competence
  • Proven experience designing and conducting both surveys and interviews as part of a research study
  • Hands-on experience sourcing and recruiting non-customer survey populations for a specific target buyer profile, not just convenience samples or theoretical familiarity
  • Working knowledge of the specific tools, platforms, and channels used to recruit non-customer respondents
  • Existing relationships with panel providers and fluency with survey platforms purpose-built for pricing and choice-modeling research
  • Ability to use AI tools to augment study design and analysis, paired with the judgment to critically evaluate that output
  • Strong applied statistics: sample size determination, choice-modeling math, correct interpretation of results
  • Clear written communication of quantitative findings for a non-technical, executive audience

Nice to Have

  • Experience conducting these studies for private equity portfolio companies
  • Domain familiarity with healthcare IT, life sciences, RegTech/compliance, financial services, or other regulated B2B software markets

What Success Looks Like

Your studies use respondent populations that genuinely test unmet need, including real non-customers, not just existing customer bias. Your panel and tooling relationships let a study stand up fast within engagement timelines. Your analysis is statistically sound and defensible enough to support a commercial go/no-go call on a net-new AI opportunity.

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