Quantitative Researcher
Location
United States
Posted
34 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Quantitative Researcher
Monad Foundation
Role Description We are looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. The work will be challenging, as it will involve predictive modeling for a variety of topics like: - Transaction dependencies - User behavior - Network behavior We’re looking for someone who has excelled in other environments where predictive analytics had a direct impact on the bottom line, such as high-frequency trading or traditional tech. Your work will directly impact the performance and economics of one of the biggest upcoming blockchain projects in the space. What You Will Do: - Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior. - Devise and prototype a variety of approaches before finding the correct solution. - Implement production-grade solutions and take end-to-end ownership of production prediction pipelines. Qualifications - At least 3 years of experience building predictive models, preferably at a HFT firm. - You’re creative, self-motivated, and independent. - Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets. - Proficient in numpy and pandas. - You’ve built something significant from scratch. - Bonus: You are crypto-native. Benefits - Challenging problems. - You’ll tackle deeply complex and technically demanding problems, with autonomy and impact. - Endless Opportunity for Impact. - The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are slow and bandwidth-constrained. - Monad’s core innovations offer developers and founders the best of both worlds (portability and performance) and are a game-changer to power global on-chain finance. - The right team. - You’ll be part of a world-class team, who are exceptional and highly motivated. - Culture: We’re a lean team working together to achieve very ambitious goals, united in our culture of collaboration, low ego, and high-quality output. - Strong Ecosystem: The broader Monad ecosystem has attracted support from leading investors, builders, and long-term contributors. Company Description The Monad Foundation is a team of dedicated ecosystem and community builders who are on a mission to massively grow the impact of decentralized tech. We believe that the Monad blockchain—the performant and parallel EVM Layer 1—will help decentralized apps eat the world.
Related Guides
Related Categories
Related Job Pages
More User Researcher Jobs
Role Description We are seeking a highly analytical and detail-oriented Quantitative Researcher to develop data-driven models and strategies that inform business decisions and optimize performance. The ideal candidate will leverage advanced statistical, mathematical, and computational techniques to analyze complex datasets and generate actionable insights. This role is well-suited for a problem solver with a strong quantitative background and the ability to work independently in a remote environment. - Develop and implement quantitative models for forecasting, optimization, and decision-making - Analyze large datasets to identify trends, patterns, and anomalies - Design and conduct experiments and statistical analyses - Collaborate with cross-functional teams to translate business problems into quantitative solutions - Build predictive models and machine learning algorithms - Validate and backtest models to ensure accuracy and reliability - Present findings and recommendations to stakeholders in a clear and concise manner - Maintain and improve data pipelines and research methodologies - Stay current with advancements in quantitative research, data science, and analytics Qualifications - Must be currently residing in the United States - Valid U.S. work authorization (citizen, permanent resident, or authorized work permit holder) - Strong academic background in Mathematics, Statistics, Physics, Computer Science, Economics, or a related quantitative field - Proven experience in quantitative research, data science, or a similar role - Proficiency in programming languages such as Python, R, or MATLAB - Strong knowledge of statistical modeling, probability, and machine learning techniques - Experience working with large datasets and data analysis tools - Excellent analytical, problem-solving, and critical thinking skills - Strong communication skills with the ability to present complex findings clearly Requirements - Advanced degree (Master's or PhD) in a quantitative discipline - Experience in financial modeling, algorithmic trading, or risk analysis - Familiarity with cloud platforms (AWS, Azure, or Google Cloud) - Experience with data visualization tools (Tableau, Power BI) - Knowledge of optimization techniques and stochastic processes Work Environment - Fully remote role with flexible scheduling options - Must be available to work within U.S. business hours - Collaboration with distributed teams and stakeholders Compensation & Benefits - Opportunity for long-term engagement or full-time conversion (if applicable) - Professional development and research opportunities
M365 Power User
MercorCincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Portfolio Contributor Type: Contract Compensation: $500–$1000/portfolio Role Responsibilities - Evaluate and share Google Docs with detailed content such as meeting notes, travel itineraries, and project reports. - Submit Word Documents used for professional purposes, ensuring they have rich formatting like headings and bullet points. - Share Google Sheets with active use in budgets, project tracking, and data analysis, featuring multiple tabs and real formulas. - Provide Excel Files with structured data, including budgets and financial models, with formulas and pivot tables. - Share Google Slides presentations with a mix of text, visuals, and speaker notes for various purposes. - Submit PowerPoint Files with complete presentations from work, school, or personal projects. - Share Google Forms with multiple question types used for surveys, quizzes, or event sign-ups. - Provide detailed Household Budgets tracking income, expenses, and savings goals in spreadsheets. - Share To-Do Lists with priorities and due dates from productivity apps like Todoist or Notion. - Export and share your Google Maps Timeline data, including commute patterns and trip records. - Submit Notes App Dumps with varied content from apps like Apple Notes or Evernote. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Role Description The UX/UI Researcher will support the design, evaluation, and continuous improvement of government websites and digital learning experiences. This role is responsible for conducting user research to understand stakeholder needs; identifying barriers in website navigation and content access; and translating findings into actionable recommendations that improve usability, accessibility, and engagement. The UX/UI Researcher will work closely with designers, content teams, developers, and program stakeholders to ensure websites are intuitive, user-centered, and aligned with organizational goals. - Plan and conduct user research for government websites, including interviews, surveys, usability testing, and journey mapping. - Develop user personas, user flows, and journey maps for key audiences such as researchers and public users. - Evaluate existing websites and digital products to identify usability issues, navigation challenges, content gaps, and friction points. - Analyze qualitative and quantitative user data, including behavioral analytics, survey responses, and testing results, to generate insights and recommendations. - Partner with UX/UI designers, developers, and content strategists to inform wireframes, prototypes, page layouts, and interaction patterns. - Recommend improvements to information architecture, navigation, labeling, search, and page design to support easier access to educational content and resources. - Ensure research findings support accessible, inclusive, and user-friendly digital experiences, including compliance with accessibility standards and best practices. Qualifications - Bachelor's degree in User Experience, Psychology, Education, Information Science, Communications, or a closely related field. - Minimum 4 years of professional experience in UX research. - Demonstrated experience with mixed-method research approaches, including user interviews, surveys, usability testing, and journey mapping. - Experience translating research findings into practical recommendations for website structure, navigation, interface design, and content presentation. - Knowledge of accessibility, inclusive design principles, and usability best practices for public-facing websites. - Strong written and verbal communication skills, with the ability to present findings clearly to diverse audiences. - Experience collaborating with cross-functional teams including designers, developers, content authors, and business stakeholders. Preferred Qualifications - Prior experience supporting CMS, HHS, or other federal/state health programs.
• Conduct UX research with little to no direction • Work in an ambiguous environment, picking the best research methods • Lead projects and manage resources • Build relationships with clients and seek new ones • Create/Co-Create Case Studies after each project • Exercise discretion and independent judgment on significant matters
