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Remote Graduate Quantitative Analyst Jobs in Missouri

Analyze trading data, market behavior, and quantitative signals to identify opportunities for ... Benefits * Fully remote work arrangement with flexibility depending on business requirements.

This position combines quantitative analysis, financial market expertise, and technology to ... Benefits * Full-time remote position based in Germany. * Opportunity to work in a fast-paced ...

The position combines quantitative analysis with qualitative research to uncover not only what ... Remote-first work environment with flexibility. * Comprehensive medical, dental, vision, disability ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ...

Excellent quantitative reasoning skills with the ability to analyze performance data and identify ... Ability to work effectively in a remote environment aligned with Pacific Time Zone hours.

$66K - $83K/yr

... related quantitative field is a plus. Benefits * Fully remote work opportunity within an ... Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.

GRE Tutor

Columbia, MO · Remote

$23 - $40/hr

... Quantitative Reasoning (arithmetic, algebra, geometry, data analysis), and Analytical Writing (issue and argument essays). Ability to explain adaptive scoring, section-level strategy, and graduate ...

GRE Tutor

Saint Louis, MO · Remote

$23 - $40/hr

... Quantitative Reasoning (arithmetic, algebra, geometry, data analysis), and Analytical Writing (issue and argument essays). Ability to explain adaptive scoring, section-level strategy, and graduate ...

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Remote Graduate Quantitative Analyst information

What are the key skills and qualifications needed to thrive as a Remote Graduate Quantitative Analyst, and why are they important?

To thrive as a Remote Graduate Quantitative Analyst, you need a solid background in mathematics, statistics, and data analysis, typically supported by a quantitative degree. Proficiency with statistical software such as Python, R, and SQL, as well as familiarity with data visualization tools, is commonly required. Strong problem-solving skills, attention to detail, and effective remote communication set standout candidates apart. These skills ensure accurate data-driven insights and seamless collaboration within distributed teams, which are essential for delivering actionable business results.

What is the difference between Remote Graduate Quantitative Analyst vs Remote Data Analyst?

AspectRemote Graduate Quantitative AnalystRemote Data Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often entry-levelDegree in Data Science, Statistics, or related; entry-level to mid-level
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including tech, marketing, finance
Employer & Industry UsageFinancial institutions, asset managementBroad industry use, including tech and consulting
Common Search & ComparisonYesYes

The Remote Graduate Quantitative Analyst and Remote Data Analyst roles share similar educational backgrounds and work environments, especially in finance and data-driven industries. However, quantitative analysts focus more on financial modeling and risk assessment, while data analysts handle broader data interpretation across various sectors.

What are Remote Graduate Quantitative Analysts?

Remote Graduate Quantitative Analysts are entry-level professionals who use mathematical, statistical, and computational techniques to analyze data and solve problems for businesses or financial institutions, working entirely from a remote location. They typically have a recent degree in fields like mathematics, statistics, finance, engineering, or related disciplines. Their work may involve building quantitative models, conducting risk analysis, and interpreting large datasets to provide actionable insights. The remote aspect allows them to collaborate with teams and clients from anywhere, often using specialized software and online communication tools.

What are some common challenges faced by remote graduate quantitative analysts, and how can they be addressed?

As a remote graduate quantitative analyst, one of the main challenges is effective communication and collaboration with team members, especially when working across different time zones. To overcome this, it's important to proactively schedule regular virtual meetings and use collaborative platforms to stay connected. Additionally, managing your own time and staying motivated without in-person supervision can be difficult, so setting a structured daily routine and clear goals is essential. Seeking feedback regularly and participating in online team discussions can also help you stay engaged and contribute effectively.
What are popular job titles related to Remote Graduate Quantitative Analyst jobs in Missouri? For Remote Graduate Quantitative Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Graduate Quantitative Analyst jobs in Missouri look for? The top searched job categories for Remote Graduate Quantitative Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Graduate Quantitative Analyst jobs? Cities in Missouri with the most Remote Graduate Quantitative Analyst job openings:
Infographic showing various Remote Graduate Quantitative Analyst job openings in Missouri as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Quantitative Researcher - Option

Jobgether

On-site, Remote

Full-time

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 Quantitative Researcher - Option based in Netherlands.

As a Quantitative Researcher specializing in options, you will develop advanced pricing models, research strategies, and quantitative solutions for sophisticated trading environments. You will work at the intersection of mathematics, financial engineering, and technology, contributing to the design and optimization of options products and trading strategies. This role offers the opportunity to solve complex quantitative challenges, from volatility modeling and risk analysis to strategy development and implementation. Working closely with engineering and trading teams, you will help transform research ideas into scalable production solutions. If you are passionate about quantitative finance, algorithmic trading, and applying analytical expertise to innovative markets, this position provides an exciting opportunity in a global, fast-paced environment.

Accountabilities
  • Develop and implement quantitative research solutions for options pricing, risk management, and trading strategies, covering the full lifecycle from ideation to production deployment.
  • Design, maintain, and improve options valuation models, including volatility surface modeling, Greeks calculations, and advanced pricing frameworks for complex derivatives.
  • Conduct research into implied volatility behavior, volatility arbitrage opportunities, and options market microstructure across traditional and digital asset markets.
  • Collaborate closely with software engineers and trading teams to ensure efficient implementation of quantitative models and strategies into trading platforms.
  • Participate in the development of new financial products by contributing to modeling, parameter optimization, risk assessment, and strategy refinement.
  • Analyze trading data, market behavior, and quantitative signals to identify opportunities for improving pricing accuracy and trading performance.
  • Continuously evaluate new methodologies, technologies, and research approaches to enhance quantitative capabilities.
Requirements
  • 4+ years of experience as a Quantitative Researcher, Quantitative Analyst, or similar role, with demonstrated expertise in options pricing research and financial modeling.
  • Master's degree or higher in Mathematics, Statistics, Financial Engineering, Quantitative Finance, or another relevant quantitative discipline.
  • Strong practical knowledge of options pricing methodologies, including Black-Scholes, binomial models, Monte Carlo simulations, and stochastic volatility models such as Heston or SABR.
  • Experience developing and implementing quantitative models using programming languages such as Python or similar analytical tools.
  • Strong analytical and problem-solving skills, with the ability to tackle complex mathematical challenges in a fast-paced environment.
  • Experience with financial markets, hedge funds, investment firms, trading houses, brokerages, or similar environments is highly valued.
  • Knowledge of trading data processing, price forecasting, machine learning algorithms, or decentralized exchange (DEX) trading is an advantage.
  • Excellent communication skills in English, with the ability to collaborate effectively with international teams and stakeholders.
  • Strong academic background, intellectual curiosity, and a passion for continuous learning and innovation.
Benefits
  • Fully remote work arrangement with flexibility depending on business requirements.
  • Opportunity to contribute to the future of global digital asset and financial technology markets.
  • Work alongside talented quantitative researchers, engineers, and financial professionals in an international environment.
  • High-impact role with ownership over complex quantitative projects and innovative trading solutions.
  • Access to continuous learning opportunities and career development in a rapidly evolving industry.
  • Competitive salary package and comprehensive employee benefits.
  • Collaborative, results-driven culture with autonomy and opportunities to make meaningful contributions.
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? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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