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Remote Quantitative Analyst Jobs in Missouri (NOW HIRING)

... related quantitative work. * 6+ years of experience designing and implementing analytical and ... Fully remote working arrangement. * Opportunity to work on AI, machine learning, analytics, and ...

Manager - National Tax Office

Jackson, MO · Remote

$96K - $127K/yr

Perform quantitative analysis and tax modeling to evaluate entity structures, transactions, and ... Remote Eligibility: This position is US - Remote Eligible. The role may include occasional work at ...

Remote Department: Finance Employment Type: Full-time Shift: Monday - Friday, 8:00 A.M. - 5:00 P.M ... Exceptional analytical, quantitative, and problem-solving abilities. * Demonstrated expertise in ...

Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Minimum 2-year of professional experience in a Data Scientist or similar quantitative role ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

$66K - $83K/yr

This is a fully remote, collaborative environment where autonomy, initiative, and continuous learning are highly valued. You'll have the opportunity to grow your analytical expertise while working ...

Biostatistician

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Saint Louis, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Independence, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Columbia, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Kansas City, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Showing results 21-40

Remote Quantitative Analyst information

See Missouri salary details

$53K

$125.6K

$225.1K

How much do remote quantitative analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote quantitative analyst in Missouri is $125,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $136,500.00 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 the most commonly searched types of Quantitative Analyst jobs in Missouri?

The most popular types of Quantitative Analyst jobs in Missouri are:

What cities in Missouri are hiring for Remote Quantitative Analyst jobs?

Cities in Missouri with the most Remote Quantitative Analyst job openings:

Infographic showing various Remote Quantitative Analyst job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,577 per year, or $60.4 per hour.

Contractor

Posted 12 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Specialist based in Netherlands.

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions.
You will work across machine learning, data science, analytics, and predictive modeling to solve complex business challenges.
The role combines hands-on technical delivery with collaboration across data, engineering, analytics, and project teams.
You will transform large and complex datasets into actionable insights, models, reports, and intelligent applications.
There is also an opportunity to influence broader AI initiatives by providing technical guidance and helping shape analytical products.
The position places strong emphasis on responsible AI, including privacy, transparency, accountability, and ethical data practices.
It is well suited to a technically strong professional who enjoys turning advanced analytics into practical business outcomes.

Accountabilities
  • Design, develop, train, validate, and evaluate machine learning models for business and enterprise use cases.
  • Analyze large and complex datasets to identify meaningful patterns, generate insights, and support data-driven decision-making.
  • Prepare, clean, normalize, structure, and organize data for predictive and prescriptive modeling.
  • Develop analytical models, data products, dashboards, reports, and visualizations that communicate findings effectively.
  • Integrate machine learning models into applications, business processes, and operational workflows.
  • Gather, clarify, and document business and technical requirements for AI and analytics initiatives.
  • Collaborate closely with data engineers, analysts, developers, and project teams to deliver end-to-end data solutions.
  • Provide technical leadership, guidance, and expertise across data science and AI initiatives.
  • Support the development of full-stack analytics and AI applications when required.
  • Promote responsible AI practices by considering privacy, accountability, transparency, security, and ethical implications throughout the development lifecycle.
  • Identify, communicate, and appropriately escalate technical risks, dependencies, and issues within a multi-vendor environment.
  • Develop and share reusable analytical models, methodologies, and data products to improve organizational capabilities.
Requirements
  • 6+ years of professional experience using statistical and programming languages for data analysis, machine learning, and related quantitative work.
  • 6+ years of experience designing and implementing analytical and quantitative models.
  • 6+ years of experience preparing and transforming data for predictive and prescriptive modeling.
  • 6+ years of experience applying AI and machine learning techniques to real-world business or enterprise challenges.
  • Strong understanding of data analysis methodologies, statistical techniques, predictive modeling, and machine learning concepts.
  • Demonstrated ability to work with large, complex datasets and translate analytical results into practical recommendations.
  • Strong programming and analytical capabilities, with the ability to develop robust, maintainable data and ML solutions.
  • Experience collaborating effectively with multidisciplinary teams, including data engineers, analysts, developers, and project stakeholders.
  • Ability to understand business requirements and translate them into appropriate technical and analytical approaches.
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • A responsible and thoughtful approach to AI development, with awareness of privacy, transparency, accountability, and ethical AI principles.
  • Ability to work independently, manage priorities, provide technical guidance, and escalate risks effectively in a complex delivery environment.
Benefits
  • Fully remote working arrangement.
  • Opportunity to work on AI, machine learning, analytics, and data-driven enterprise initiatives.
  • Exposure to complex business problems and large-scale datasets.
  • Cross-functional collaboration with data, engineering, analytics, and project teams.
  • Opportunity to provide technical leadership and influence the development of analytical data products.
  • Environment focused on responsible, transparent, and ethical use of AI.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
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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.
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