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Remote Equity Research Jobs in Springfield, VA (NOW HIRING)

Icmarc

Investment Analyst, Equity

Washington, DC · On-site +1

$73K - $110K/yr

Support Equity Fund Managers by compiling portfolio, benchmark, performance, and market information ... Familiarity with investment research and analytics platforms such as eVestment, FactSet, and ...

Aretum

CX Research Analyst

Mclean, VA · Remote

$105K - $120K/yr

Job Summary Aretum is seeking a CX Research Analyst that conducts research and analysis to ... Travel Requirements This is a remote position; however, occasional travel may be required based on ...

Aretum

CX Research Analyst

Mclean, VA · Remote

$105K - $120K/yr

Job Summary Aretum is seeking a CX Research Analyst that conducts research and analysis to ... Travel Requirements This is a remote position; however, occasional travel may be required based on ...

Aretum

CX Research Analyst

Mclean, VA · On-site +1

$105K - $120K/yr

Job Summary Aretum is seeking a CX Research Analyst that conducts research and analysis to ... Travel Requirements This is a remote position; however, occasional travel may be required based on ...

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All JobsEquity Research JobsRemote Equity Research JobsRemote Equity Research Jobs in Springfield, VA

Remote Equity Research information

See Springfield, VA salary details

$36K

$103.2K

$161.9K

How much do remote equity research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote equity research in Springfield, VA is $103,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a remote equity research analyst?

A Remote Equity Research job involves analyzing financial data, market trends, and company performance to provide investment recommendations, all while working remotely. Analysts assess stocks, industries, and economic conditions to help investors make informed decisions. The role requires strong financial modeling, valuation, and research skills. It often involves writing reports, tracking market developments, and maintaining communication with clients or internal teams. Remote analysts use digital tools to collaborate and present findings.

What are the typical daily responsibilities of a remote equity research analyst?

As a Remote Equity Research analyst, your daily responsibilities often include conducting in-depth financial analysis of companies, building or updating financial models, and preparing written reports or investment recommendations. You will also track industry trends, monitor market news, and attend virtual meetings or earnings calls to gather insights. Collaboration with portfolio managers, traders, and other analysts frequently takes place via digital communication platforms, requiring strong self-management and proactive communication. This role demands continuous learning and adaptability, as new information and changing markets can reshape priorities throughout the day.

What are the key skills and qualifications needed to thrive in the remote equity research position?

To excel in Remote Equity Research, a solid background in finance, accounting, and data analysis is typically required, often supported by a degree in finance, economics, or a related field. Familiarity with financial modeling software, Bloomberg Terminal, Excel, and sometimes CFA certification is highly valued. Strong written communication, critical thinking, and self-motivation are essential soft skills for success in a virtual research setting. These capabilities enable professionals to deliver accurate, timely investment insights and collaborate effectively despite working remotely.

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For Remote Equity Research jobs in Springfield, VA, the most frequently searched job titles are:

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Remote Equity Research jobs near you

Compensation Analyst - Remote

DCI Consulting

Washington, DC • Remote

$75K - $90K/yr

Full-time

Re-posted 13 days ago

Job description

Position: Compensation Analyst - Remote


Location: Remote
Department: Employment and Litigation Services (ELS)
Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75,000- $90,000


About DCI:

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach.

Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk.


Our Clients:

DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms.


Top Client Initiatives DCI Supports:

Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts.


About the Job:

DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy.

This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries.


Responsibilities:

  • Conduct market benchmarking using survey data platforms and publicly available sources
  • Assist in the design and assessment of job architecture, salary structures, and pay ranges
  • Review job descriptions to align positions within leveling frameworks
  • Gather, scrub, and organize compensation data, ensuring data quality and accuracy
  • Analyze market trends and pay equity data to support client recommendations
  • Support statistical analyses to inform compensation design decisions
  • Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA)
  • Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports
  • Support compensation project management and cycle planning tasks
  • Communicate proactively with clients and teammates on deliverables and project initiatives


Required Skills and Qualifications:

  • Bachelor's degree in HR, Business, or related field
  • Minimum 3 years of experience in compensation, HR analytics, or related role
  • Minimum 2 years of experience working in a consulting firm or professional services environment
  • Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing)
  • Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com)
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA)
  • Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams)
  • Strong attention to detail with the ability to manage multiple workstreams within tight deadlines
  • Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives.
  • Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA
  • Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills


Preferred Experience:

  • Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis)
  • Familiarity with artificial intelligence in work products
  • Familiarity with executive or sales compensation
  • Total rewards knowledge, particularly benefits benchmarking
  • Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings

Apply