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Work From Home Remote Quantitative Analyst Jobs (NOW HIRING)

DataAnnotation

$60/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also conducting data integrity testing. Portfolio Analytics includes, but not limited to: Exposure ...

DataAnnotation

$60/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

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$56.5K

$133.9K

$240K

How much do work from home remote quantitative analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for work from home remote 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 are the key skills and qualifications needed to thrive as a Work From Home Remote Quantitative Analyst, and why are they important?

To thrive as a Work From Home Remote Quantitative Analyst, you need advanced mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, experience with data analysis platforms, and familiarity with financial modeling tools are commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help set candidates apart in a virtual environment. These skills ensure accurate data interpretation, effective collaboration, and reliable insights that drive data-driven decision-making in remote settings.

How do remote quantitative analysts typically collaborate with team members and stakeholders while working from home?

Remote quantitative analysts often rely on digital communication and collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings, code reviews, and collaborative data analysis sessions are common practices to ensure alignment and maintain productivity. Since much of the quantitative analysis work is data-driven, remote analysts frequently share reports, models, and insights through secure cloud-based platforms, making it easy to coordinate with both technical and non-technical stakeholders. Adapting to asynchronous communication and clear documentation is also crucial for effective teamwork in a remote setting.

What does a Work From Home Remote Quantitative Analyst do?

A Work From Home Remote Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to solve business problems or make predictions, all while working remotely. They often analyze large data sets to identify trends, evaluate risks, and support decision-making for organizations in fields such as finance, marketing, or insurance. Their work can include programming, data visualization, and developing algorithms, and they typically communicate findings to stakeholders through reports or presentations. Working remotely, they use digital collaboration tools to stay connected with their team and manage projects efficiently.
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Work From Home Remote Quantitative Analyst jobs near you
Infographic showing various Work From Home Remote Quantitative Analyst job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 81% Full Time, 13% Part Time, and 2% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Remote Quantitative AI Researcher & Evaluator

Remote Quantitative AI Researcher & Evaluator

DataAnnotation

On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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