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Remote Quantitative Trading Intern Jobs (NOW HIRING)

Crypto.com

Quant Researcher, OEX

$100K - $230K/yr

... quantitative research, risk management, trading, or a related field. * Master or PhD in a ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

MLabs

Head of Growth - Hyperliquid Agents

$150K - $200K/yr

Remote Americas preferred location Remote Full-time Compensation: $150k-$200k base plus equity ... Experience in perpetual, algorithmic, or quantitative trading; background in developer-facing ...

Crypto.com

Quant Researcher, OEX

Charleston, WV · Remote

... quantitative research, risk management, trading, or a related field. * Master or PhD in a ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

MFS Investment Management

Sr. Data Engineer

Boston, MA · On-site +1

$10K/mo

Partner with Quantitative Trading Strategists to improve current platform capabilities and ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

Servier

Policy & Impact Quantification Intern

OR · Remote

$34/hr

This role offers a unique opportunity to apply quantitative rigor to real-world policy challenges ... This is a 100% remote position. Servier's Commitment Servier is committed to modeling diversity ...

Servier

Policy & Impact Quantification Intern

OR · On-site +1

$34/hr

This role offers a unique opportunity to apply quantitative rigor to real-world policy challenges ... This is a 100% remote position. Servier's Commitment Servier is committed to modeling diversity ...

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Remote Quantitative Trading Intern information

What are the key skills and qualifications needed to thrive as a Remote Quantitative Trading Intern, and why are they important?

To thrive as a Remote Quantitative Trading Intern, you need strong quantitative analysis skills, proficiency in mathematics and statistics, and familiarity with financial markets, typically supported by coursework in finance, economics, or related fields. Experience with programming languages such as Python, MATLAB, or R, and familiarity with trading platforms and data analysis tools are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication set top candidates apart, especially in remote settings. These skills and qualities are crucial to effectively analyze market data, develop trading strategies, and collaborate with team members for successful outcomes.

What are the typical projects and responsibilities for a Remote Quantitative Trading Intern, and how do they contribute to the trading team's goals?

As a Remote Quantitative Trading Intern, you'll often work on tasks such as analyzing large market datasets, backtesting trading strategies, and developing statistical models to identify trading opportunities. You'll collaborate with experienced traders and quantitative analysts, contributing directly to research and strategy development. This role requires strong communication skills to effectively present your findings and integrate feedback, as well as adaptability to a fast-paced, data-driven environment. Your work will have a real impact on the team's decision-making process and can provide a solid foundation for a career in quantitative finance.

What are Remote Quantitative Trading Interns?

Remote Quantitative Trading Interns are students or early-career professionals who work with trading firms or financial institutions from a remote location. Their main responsibilities involve analyzing market data, developing trading algorithms, and supporting the trading team with quantitative research. They use statistical and programming skills—often in languages like Python or R—to help identify trading opportunities and optimize strategies, all while collaborating virtually with mentors and team members. This role provides valuable exposure to real-world trading environments without the need to be physically present in an office.

What is the difference between Remote Quantitative Trading Intern vs Remote Quantitative Analyst?

AspectRemote Quantitative Trading InternRemote Quantitative Analyst
CredentialsTypically pursuing or recent graduate in math, finance, or related fieldsUsually holds a degree in finance, mathematics, or statistics; often with some professional experience
Work EnvironmentInternship, often part-time or seasonal, within trading firms or hedge fundsFull-time role, often within financial institutions or hedge funds
ResponsibilitiesAssisting in data analysis, model testing, and research under supervisionDeveloping trading models, analyzing market data, and optimizing strategies

The main difference between a Remote Quantitative Trading Intern and a Remote Quantitative Analyst lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining entry-level experience, while analysts are more experienced professionals responsible for developing and implementing trading strategies.

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Remote Quantitative Trading Intern jobs near you
Infographic showing various Remote Quantitative Trading Intern job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Temporary. Highlights an 100% Remote job distribution.
Quantitative Research Analyst - Remote

Quantitative Research Analyst - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Posted 17 days ago

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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