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Remote Data Research Jobs (NOW HIRING)

NTT DATA

Java Developer

Phoenix, AZ · Remote

$50.75 - $65.50/hr

... remote data via SOAP, REST, and JSON. * 4 years of experience in software development, with a focus ... NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

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How much do remote data research jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote data research in the United States is $34.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $46.39 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Remote Data Research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What is a Remote Data Research job?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive in the Remote Data Research position, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

More about Remote Data Research jobs
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Remote Data Research jobs near you
Infographic showing various Remote Data Research job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $71,851 per year, or $34.5 per hour.

Proprietory Trader (Quant/Systematic Equities) - DTG Capital Markets

DTG Capital Markets

Manhattan, NY • Remote

Full-time

Posted 6 days ago

Job description

Build Alpha. Trade Capital. Own Results.

We are seeking Proprietary Quant Traders with experience developing and trading intraday or mid-frequency US equities strategies . This is a front-office role focused on alpha generation, portfolio construction, and live strategy trading/management.

The successful candidate will have a demonstrated experience in research, deployment, and scaling profitable quantitative trading strategies while operating in a disciplined risk management framework.

Key Responsibilities

✔ Research and develop systematic alpha signals and trading strategie

✔ Design, backtest, and deploy quantitative models across US equitie

✔ Manage live trading strategies and monitor performance

✔ Optimize portfolio construction, risk allocation, and execution

✔ Analyze transaction costs, liquidity, and market microstructure

✔ Collaborate with technology and data teams to improve research and trading infrastructure

Ideal Candidate

  1. Proven experience trading systematic US equities strategies
  2. Demonstrated track record of generating risk-adjusted returns
  3. Strong quantitative, statistical, and analytical skills
  4. Deep understanding of portfolio construction and risk management
  5. Experience taking strategies from idea generation through production deployment
  6. Ability to operate independently and drive research initiatives

Technical Skills/Requirements

  1. Python
  2. Quantitative research and backtesting frameworks

Data analysis and statistical modeling

Preferred

  1. C++
  2. Machine learning techniques
  3. Alternative data research

What You'll Get

  1. Access to institutional-grade data, ultra latent technology, and execution infrastructure
  2. Significant autonomy to develop and trade your own ideas
  3. VERY competitive terms: high payout (paid quarterly), no restrictions/ no non-compete, 100% remote, sizable capital allocations (100-500M GMV)

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