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Remote Derivative Analyst Jobs (NOW HIRING)

... diagrams, derivations, experimental interpretations, and step-by-step reasoning. • Update ... analysis, or related scientific workflows • Strong understanding of classical mechanics ...

... derivative products (ex. Storymaps, web apps, etc.) Qualifications The Geospatial Analyst should have the following: * Master's degree with two plus years of related experience in geography, remote ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... derivative products (ex. Storymaps, web apps, etc.) The Geospatial Analyst should have the following: * Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... derivative products (ex. Storymaps, web apps, etc.) Qualifications The Geospatial Analyst should have the following: * Master's degree with two plus years of related experience in geography, remote ...

Remote Role Responsibilities * Design challenging, real-world physics problems in areas like ... Evaluate the model's performance on tasks to identify reasoning and derivation failures. * Analyze ...

Remote (but no West Coast) Duration: Long Term Contract Provides expert level business process ... Budgetary Ledger, FM Derivation, Budgeting and AVC Control . * Strong organization and ...

Creation and analysis of derivative data layers * Supporting and leading process improvements ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

Creation and analysis of derivative data layers * Supporting and leading process improvements ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

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Remote Derivative Analyst information

See salary details

$31K

$73.3K

$130K

How much do remote derivative analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote derivative analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Derivative Analyst vs Remote Equity Analyst?

AspectRemote Derivative AnalystRemote Equity Analyst
Required CredentialsFinance degree, CFA preferred, derivative certificationsFinance/Economics degree, CFA often preferred
Work EnvironmentFinancial institutions, trading firms, hedge fundsInvestment firms, asset management companies
Industry UsageDerivatives trading, risk managementStock analysis, portfolio management
Common Search/ComparisonYesYes

The Remote Derivative Analyst primarily focuses on analyzing derivatives like options and futures, often working in risk management or trading environments. In contrast, a Remote Equity Analyst evaluates stocks and equity markets to inform investment decisions. While both roles require finance knowledge and certifications like CFA, their focus areas and industry applications differ significantly.

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

To thrive as a Remote Derivative Analyst, you need strong quantitative analysis skills, a solid understanding of financial markets and derivatives, and typically a degree in finance, mathematics, or a related field. Proficiency with financial modeling tools, programming languages like Python or R, and systems such as Bloomberg Terminal is commonly required. Analytical thinking, attention to detail, and effective remote communication are vital soft skills for excelling in this position. These skills and qualities are crucial for accurately assessing risk, making informed decisions, and collaborating efficiently in a remote, fast-paced financial environment.

What is a Remote Derivative Analyst?

A Remote Derivative Analyst is a finance professional who specializes in analyzing, pricing, and managing derivative financial instruments such as options, futures, and swaps while working from a remote location. Their main responsibilities include evaluating market risks, monitoring derivative portfolios, and providing insights to support investment or risk management decisions. By leveraging technology, they collaborate with teams and clients virtually, using advanced analytical tools and financial models to assess market trends and ensure regulatory compliance. This role typically requires strong quantitative skills, knowledge of financial markets, and experience with derivatives trading or analysis.

What are some common challenges faced by Remote Derivative Analysts, and how can they be effectively managed?

Remote Derivative Analysts often encounter challenges such as coordinating across different time zones, maintaining clear communication with trading teams, and staying updated on rapid market changes. To manage these challenges, it is important to leverage collaboration tools, establish regular check-ins, and set clear expectations with colleagues. Additionally, staying organized and proactive in monitoring market data helps ensure timely analysis and supports effective decision-making, even while working remotely.
More about Remote Derivative Analyst jobs
What cities are hiring for Remote Derivative Analyst jobs? Cities with the most Remote Derivative Analyst job openings:
What are the most commonly searched types of Derivative Analyst jobs? The most popular types of Derivative Analyst jobs are:
What states have the most Remote Derivative Analyst jobs? States with the most job openings for Remote Derivative Analyst jobs include:
What job categories do people searching Remote Derivative Analyst jobs look for? The top searched job categories for Remote Derivative Analyst jobs are:
Infographic showing various Remote Derivative Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Full-time

Posted 16 days ago


Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Physics Quality Assurance Lead to oversee quality and consistency in AI training projects, evaluating physics content and providing feedback to ensure accuracy and adherence to standards.
Responsibilities:
• Spot-check physics items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Review AI-generated physics explanations, calculations, diagrams, derivations, experimental interpretations, and step-by-step reasoning.
• Update trainers/QAs on Discord about guidelines, workflow updates, and physics-specific quality expectations.
• Respond to questions around physical assumptions, formulas, units, derivations, diagrams, experimental setups, and rubric interpretation.
• DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Create and maintain physics documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
• Run onboarding/training calls for physics contributors.
• Flag misleading, numerically incorrect, physically impossible, unsafe, or poorly contextualized physics claims.
• Identify recurring quality gaps and improve physics QA workflows.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Physics, Applied Physics, Engineering Physics, Astrophysics, Mathematics, Engineering, or a closely related quantitative/scientific field
• Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback
• 3+ years of experience in physics research, teaching, tutoring, laboratory work, science writing, academic review, engineering analysis, or related scientific workflows
• Strong understanding of classical mechanics, electromagnetism, waves, optics, thermodynamics, statistical mechanics, quantum mechanics, relativity, units, dimensional analysis, and mathematical modeling
• Ability to evaluate physics content against rubrics and identify issues such as incorrect assumptions, wrong formulas, unit errors, flawed reasoning, sign convention mistakes, physically impossible claims, or misleading explanations
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
• Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation
Preferred:
• Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods
• Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.