AI/ML Data Contributor
Jackson, MS · Remote
Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...
Quick apply
Jackson, MS · Remote
Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...
Quick apply
Jackson, MS · Remote
Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...
Jackson, MS · Remote
Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...
Quick apply
Jackson, MS · Remote
Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...
$47.1K - $61K
4% of jobs
$61K - $74.9K
10% of jobs
$74.9K - $88.8K
10% of jobs
$90.7K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.7K
12% of jobs
The median wage is $107.5K / yr.
$102.7K - $116.6K
43% of jobs
$116.6K - $130.5K
9% of jobs
$130.5K - $144.4K
11% of jobs
$144.4K - $158.3K
0% of jobs
$158.3K - $172.2K
1% of jobs
$172.2K - $186.1K
2% of jobs
$186.1K - $200K
0% of jobs
$47.1K
$111.5K
$200K
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.
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.
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.
The most popular types of Quantitative Analyst jobs in Ridgeland, MS are:
The top searched job categories for Remote Quantitative Analyst jobs in Ridgeland, MS are:
Cities near Ridgeland, MS with the most Remote Quantitative Analyst job openings:
Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.
Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.