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Remote No Experience Quantitative Analyst Jobs (NOW HIRING)

Octus

Quantitative Analyst

$135K - $150K/yr

The Quantitative Analyst will work together with the analytics team, data team, and business ... Experience with an object-oriented programming language such as Python, Java, or C# * Desire to ...

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also ... Experience working with portfolio analytics solutions Employment Type: FULL_TIME

Octus

Quantitative Analyst

$135K - $150K/yr

Role We are seeking a Quantitative Analyst for the analytics team at Sky Road, Octus ... Experience with an object-oriented programming language such as Python, Java, or C# * Desire to ...

OVA.Work

Quantitative AI Analyst

Work is seeking a Quantitative AI Analyst to leverage advanced analytics and artificial ... Preferred : • Experience with generative AI, LLMs, or AI-assisted analytics. • Familiarity with ...

WallStreetQuants

Entry-Level Quantitative Developer

... no prior quant or finance experience is required. - Open to applicants from any degree discipline ... analytical judgment and learning ability. - Strong computer science fundamentals, including data ...

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$56.5K

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How much do remote no experience quantitative analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote no experience quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote No Experience Quantitative Analyst vs Remote No Experience Data Analyst?

AspectRemote No Experience Quantitative AnalystRemote No Experience Data Analyst
Required CredentialsBasic degree in math, finance, or related field; no experience neededDegree in statistics, data science, or related; no experience required
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, consulting firms, marketing agencies
Industry UsageFinance and investment sectorsTechnology, marketing, and business sectors
Common Search IntentEntry-level finance roles focusing on quantitative analysisEntry-level data analysis roles across industries

The Remote No Experience Quantitative Analyst typically works in finance, focusing on mathematical models and financial data, while the Remote No Experience Data Analyst works across various industries analyzing data to support business decisions. Both roles require a related degree but do not need prior experience, making them accessible entry points into their respective fields.

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Remote No Experience Quantitative Analyst jobs near you
Infographic showing various Remote No Experience Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analyst

Octus

Remote

$135K - $150K/yr

Full-time

Re-posted 24 days ago

Job description

We are seeking a Quantitative Analyst for the analytics team at Sky Road, Octus' state-of-the-art enterprise software platform for credit management professionals.

The Quantitative Analyst will work together with the analytics team, data team, and business analysts to facilitate client onboarding, improve existing onboarding processes, and debug, test, and build features for portfolio analytics and compliance. This is a cross-functional role that requires strong communication, organization, and collaboration skills.

Responsibilities

  • Assist with client onboarding and support. Work with the analytics team, data team, and business analysts to understand client data, configure portfolio compliance and analytics, and debug calculation issues
  • Implement, test, and maintain new functionality for portfolio compliance and onboarding
  • Help to improve and maintain documentation for internal team members

Requirements

  • Bachelor's in Mathematics, Computer Science, Finance, Economics, or similar field with a strong quantitative emphasis
  • Experience with an object-oriented programming language such as Python, Java, or C#
  • Desire to understand and communicate problems from both a financial and technical point-of-view

Preferred

  • Experience with core financial data domains including issuers, instruments, industries, ratings, and pricing
  • Familiarity with CLOs and asset-based lending
  • Experience with analytic Python libraries, such as Pandas and Numpy
  • Familiarity with RESTful APIs and applications
  • Experience with AI tools, such as Claude Code or Google Gemini

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $135,000-$150,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

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