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Remote Risk Quant Jobs in Missouri (NOW HIRING)

Jobgether

... growing, remote-first environment at the forefront of fraud prevention and financial risk ... Requirements: * 7+ years of experience in data science, quantitative modeling, analytics, or ...

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

... flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

... flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Excellent analytical and quantitative skills and able to generate insights from data and translate ...

Linesight

Scheduling Lead

Kansas City, MO · Remote

$125K - $175K/yr

Have demonstrated quantitative risk assessment (QRA) experience on Data Center or life science ... This role will be primarily remote but the ideal candidate must be open to monthly travel to ...

Jobgether

$66K - $83K/yr

... risk metrics such as EAD, LGD, and RWA. * Experience defining technical requirements and ... related quantitative field is a plus. Benefits * Fully remote work opportunity within an ...

EXANTE

Remote Responsibilities * Pricing strategy - set and own the pricing strategy across the wealth ... Strong quantitative skills - pricing analytics, segmentation, experimentation and customer ...

All JobsRisk Quant JobsRemote Risk Quant JobsRemote Risk Quant Jobs in Missouri

Remote Risk Quant information

What are the key skills and qualifications needed to thrive as a Remote Risk Quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are some common challenges faced by Remote Risk Quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are Remote Risk Quants?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.
What are popular job titles related to Remote Risk Quant jobs in Missouri? For Remote Risk Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Missouri look for? The top searched job categories for Remote Risk Quant jobs in Missouri are:
Remote Risk Quant jobs near you
Infographic showing various Remote Risk Quant job openings in Missouri as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.

Senior Data Scientist

Jobgether

Remote

Full-time

Medical, PTO

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

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 Senior Data Scientist based in Netherlands.

This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront of fraud prevention and financial risk intelligence. In this role, you will leverage advanced analytics, machine learning, and large-scale data to tackle complex fraud challenges with real-world impact. You will work closely with clients and cross-functional teams to design innovative risk solutions, optimize decision-making, and improve product performance. The position combines hands-on technical work with strategic problem-solving and stakeholder collaboration. Ideal for professionals who enjoy turning data into actionable insights, this role offers significant ownership, exposure to cutting-edge technologies, and the opportunity to influence the future of risk management on a global scale.

Accountabilities:
  • Design, build, and deploy machine learning models to identify and prevent fraud across a variety of fintech and risk-related use cases.
  • Drive a data-first culture by promoting analytical thinking and data-driven decision-making across internal teams and client engagements.
  • Develop, monitor, and optimize performance metrics to measure the effectiveness of risk strategies and product outcomes.
  • Conduct advanced analyses to uncover insights that improve fraud prevention, approval rates, and overall customer experience.
  • Partner directly with clients to understand their fraud challenges and provide clear, actionable recommendations based on data insights.
  • Build automated dashboards and self-service reporting solutions using business intelligence tools.
  • Collaborate closely with engineering teams to productionize models, improve scalability, and enhance data infrastructure.
  • Work cross-functionally with product, business, and engineering stakeholders to translate business requirements into impactful analytical solutions.
  • Support the development of innovative risk mitigation strategies while balancing security, efficiency, and user experience.
Requirements:
  • 7+ years of experience in data science, quantitative modeling, analytics, or related data-focused roles, ideally within fraud prevention, financial risk, or fintech environments.
  • Strong hands-on expertise in Python and/or R, along with advanced SQL skills for large-scale data analysis.
  • Experience with machine learning model development, deployment, and performance monitoring in production environments.
  • Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms.
  • Strong analytical skills, including experience with exploratory data analysis, cohort analysis, and extracting insights from complex datasets.
  • Ability to communicate technical findings effectively to both technical and non-technical audiences, including external stakeholders and clients.
  • Excellent critical thinking, problem-solving, and decision-making capabilities with a proactive and results-oriented mindset.
  • Experience collaborating within cross-functional, globally distributed teams.
  • Familiarity with big data technologies such as Spark is considered an advantage.
  • Strong English communication skills, both written and verbal.
Benefits:
  • Competitive compensation package including cash compensation and equity participation.
  • Remote-first working environment with the flexibility to work from anywhere.
  • Flexible paid time off and additional year-end holiday breaks.
  • Home office setup allowance to support your ideal remote workspace.
  • Company-provided MacBook Pro and necessary equipment.
  • Monthly meal allowance and social activity stipend.
  • Annual health and wellness budget.
  • Annual learning and professional development stipend.
  • Opportunity to work alongside world-class professionals in a high-growth international environment.
  • High levels of autonomy, ownership, and flexibility with a strong focus on results rather than hours worked.
  • Inclusive and supportive culture that values work-life balance and personal well-being.
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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