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Remote Derivative Analyst Jobs (NOW HIRING)

Dewberry

Geospatial Quality Analyst

Fairfax, VA · On-site +1

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 ...

Dewberry

Geospatial Quality Analyst

Tampa, FL · On-site +1

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 ...

Trinoor

Risk Analyst or a Senior Risk Analyst

Boise, ID · On-site +1

$89K - $134K/yr

... 40% remote. What does a Risk Analyst or Senior Risk Analyst do for us? Risk Analysts identify ... Derivatives, energy trading, collateral management, finance, and accounting * Utility finance ...

BTIG

Equity Research Supervisory Analyst

New York, NY · On-site +1

This position is fully remote without any required office location * The successful candidate would ... BTIG offers execution, expertise and insights for equities, equity derivatives, ETFs and fixed ...

BNY

Senior Vice President, Research - IM

Pittsburgh, PA · On-site +1

$155K/yr

Analyze individual securities, classes of securities, or the development of quantitative decision ... Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ...

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Remote Derivative Analyst information

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How much do remote derivative analyst jobs pay per year?

As of Aug 23, 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 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 the key skills and qualifications needed to thrive as a remote derivative analyst?

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 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.

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.

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Remote Derivative Analyst jobs near you
Infographic showing various Remote Derivative Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Topobathymetric Lidar Geospatial Analyst II

GeoSearch

Fairfax, VA • Remote

Full-time

Re-posted yesterday

Job description

Geospatial Analyst III in Fairfax, VA or Tampa, FL. Remote positions will be considered dependent on experience. This is an excellent career opportunity for an individual to join a team of professionals while working in a multidisciplinary consulting and engineering firm. The firm succeeds through the individual and collaborative skills of its people therefore, we offer opportunities for professional growth while working with and applying the latest technology. Typical responsibilities are to work on GIS/IT and Remote Sensing-related projects for state and federal clients across the US. Overall responsibility includes working on a team performing automated and manual processing of point cloud data.


Responsibilities

Position requires experience in analysis and review of topographic lidar data, topobathymetric data, vector data (2D and 3D), Digital Elevation Models (DEMs), Digital Surface Models (DSMs), imagery, and derivative products for state, federal, and private clients across the US. Experience with creating automated lidar classification algorithms (TerraSolid Products) preferred. Strong candidates will also have a good, conceptual understanding of fundamental remote sensing concepts and geospatial processes for various products, e.g. how lidar sensors work, basic GPS ground survey procedures, airborne lidar trajectory processing, interaction of light and water for bathymetry applications, and ortho-imagery processing.

  • Working with the initial processing and data classification of multiple topographic and bathymetric lidar projects.
  • Creating Scripts/Models/Macros in multiple sensor platforms
  • Work with the Product Line Lead to assist in the execution of projects, on time and within budget.
  • Data Management and Handling: Planning and monitoring production data, management needs and working with IT and Operations to ensure adequate resources are available; Ensuring data management protocols are met including the use of proper files and formats as well as file locations, storage, and backups.
  • Perform work that appropriately follows all quality control steps and practices are implemented throughout processes to ensure deliverables meet client specifications. 
  • Provide feedback and support for developing and/or updating SOPs as necessary.
  • Works with production staff to support process improvements; working with other Technology/Process Improvement teams to review best practices to enhance product line, gain efficiencies, and improve quality.
  • Support improvements to automation of the production and QC process through providing technical guidance and ideas 
  • Task Management; Problem resolution; Report writing; Collaboration
  • Quality Assurance, documentation and providing feedback.


Required Skills and Experience

  • Bachelor's degree in Geography, GIS, or related field.
  • 3+ years of experience in the GIS/Remote Sensing Field or equivalent combination of education and experience with a focus on point cloud classification working with Lidar and producing other Elevation data sources.
  • Experience in Lidar processing and elevation model creation/manipulation, hydrography, or other remote sensing processing, development, and QA/QC.
  • An understanding of GIS and Lidar data and concepts including a strong knowledge of various raster and vector data types, coordinate systems, projections, and datums
  • Understanding of Lidar production workflow and being able to explain the conceptual basis of Lidar acquisition, processing, and deliverable creation
  • The ability to analyze point clouds and various geospatial data layers derived from point cloud data.
  • Working experience with Terrasolid Products and MicroStation
  • In-depth knowledge of ESRI’s products including ArcGIS 10x, ArcPro.
  • Proficiency in basic computer applications, especially MS Office (Word, Excel, and Access).
  • Ability to handle multiple priorities under tight schedules as required
  • Strong verbal and written communication skills.


Beneficial Skills & Experience

  • Creative problem-solving skills.
  • GISP Certification, ASPRS certifications in Lidar or other Remote Sensing technologies a plus
  • LASTools, LP360, Global Mapper, QGIS experience a plus.
  • Working knowledge of Python and/or other programming languages a plus.
  • GDAL Tools, and command line applications highly desirable
  • ArcGIS Data Review and Production Editing experience a plus.
  • Specific experience working with Riegl topobathymetric sensors and Optech CZMIL topobathymetric sensors.
  • Experience creating scripts/models/macros in multiple GIS/remote sensing platforms
  • Experience with national elevation programs, such as NOAA’s Coastal Mapping Program, USGS 3DEP, and/or USGS 3DHP
  • Experience with industry standards and specifications, e.g., ASPRS Positional accuracy Standards for Digital Geospatial Data, USGS Lidar Base Specifications


Additional Requirements:

  • US Citizen
  • Must have a valid driver’s license, good driving record and ability to pass a driving record background check.