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Remote Entry Level Quantitative Analyst Jobs in Philadelphia, PA

Amrize

Manufacturing Technology Leader

Philadelphia, PA · Remote

$15.75 - $19.25/hr

Remote Worker - Tennessee, Remote Worker - Texas, Remote Worker - Utah, Remote Worker - Virginia ... Analyze and improve existing processes to increase efficiency and reduce waste. * Maintain ...

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All JobsQuantitative Analyst JobsRemote Entry Level Quantitative Analyst JobsRemote Entry Level Quantitative Analyst Jobs in Philadelphia, PA

Remote Entry Level Quantitative Analyst information

See Philadelphia, PA salary details

$57K

$135.1K

$242.2K

How much do remote entry level quantitative analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote entry level quantitative analyst in Philadelphia, PA is $135,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Entry Level Quantitative Analyst vs Remote Data Analyst?

AspectRemote Entry Level Quantitative AnalystRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles prefer certifications like CQFBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst often preferred
Work EnvironmentFinancial firms, hedge funds, or investment banks; focus on modeling and risk analysisTech companies, consulting firms, or marketing agencies; focus on data interpretation and reporting
Industry UsageCommon in finance, banking, and investment sectorsWidespread across various industries including tech, healthcare, and retail

The Remote Entry Level Quantitative Analyst primarily focuses on financial modeling and risk assessment within finance-related industries, requiring strong quantitative skills and relevant certifications. In contrast, the Remote Data Analyst works across diverse sectors, emphasizing data interpretation and reporting. Both roles are entry-level, require similar educational backgrounds, but differ in industry focus and specific skill sets.

What are the most commonly searched types of Remote Quantitative Analyst jobs in Philadelphia, PA?

The most popular types of Remote Quantitative Analyst jobs in Philadelphia, PA are:

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For Remote Entry Level Quantitative Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

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The top searched job categories for Remote Entry Level Quantitative Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Entry Level Quantitative Analyst jobs?

Cities near Philadelphia, PA with the most Remote Entry Level Quantitative Analyst job openings:

Remote Entry Level Quantitative Analyst jobs near you

Quantitative Research Analyst - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted yesterday

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements:
  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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