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Remote Quantitative Developer Intern Jobs in Toronto, ON

... and financial engineering to evaluate and train AI systems. If you enjoy solving complex ... Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives ...

Remote (with hybrid options in Toronto) Compensation: Hourly ($32) The Vosyn internship is unique ... We are looking for a skilled and driven IT Developer Intern to join our team. This role is perfect ...

Developer Relations Intern

Toronto, ON ยท Remote

CA$8 - CA$16/hr

Role Summary We are looking for a passionate Developer Relations Intern to join our global DevRel ... Self-motivated, proactive, and able to work independently in a remote environment * Passionate ...

Fully remote (with opportunity to work hybrid from Toronto or Chicago) Compensation: Hourly (paid ... For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead ...

As a global leader in 3D design, engineering, and entertainment software, we help people everywhere ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

As a global leader in 3D design, engineering, and entertainment software, we help people everywhere ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

Collaborate with engineers, architects, designers, and team members to contribute to the delivery ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

Collaborate with engineers, architects, designers, and team members to contribute to the delivery ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

Software Engineer - AI-Native Product Builder Location : Toronto (Hybrid) or Remote within Canada ... intern will have: * Shipped 12 production features used by real customers * Contributed ...

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Remote Quantitative Developer Intern information

What does a Remote Quantitative Developer Intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

Is 30 too late to become a quant?

Becoming a quantitative developer at any age, including 30, is possible with strong skills in mathematics, programming, and finance. Many professionals transition into quant roles after gaining experience in related fields or acquiring relevant certifications like CFA or advanced degrees. Age is less important than technical ability and continuous learning in this field.

What are some common challenges faced by Remote Quantitative Developer Interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

How much do quant interns make?

Quantitative developer interns typically earn between $20 and $40 per hour, with annualized salaries ranging from approximately $40,000 to $80,000 depending on location, firm size, and experience. Compensation may also include benefits and opportunities for performance-based bonuses, especially in finance or tech environments that value strong programming and analytical skills.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts and developers, often referred to as quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve working with tools like Python, C++, or MATLAB. Internships and entry-level roles are also available for aspiring quants.

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

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

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

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

Is 30 an hour good for an intern?

For a remote quantitative developer intern, earning $30 an hour is above the average internship pay, which typically ranges from minimum wage to around $20 per hour. This rate reflects the specialized skills in programming, data analysis, and financial modeling often required for such roles. However, pay standards can vary based on location, company, and experience level.
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What job categories do people searching Remote Quantitative Developer Intern jobs in Toronto, ON look for? The top searched job categories for Remote Quantitative Developer Intern jobs in Toronto, ON are:
Infographic showing various Remote Quantitative Developer Intern job openings in Toronto, ON as of June 2026, with employment types broken down into 26% Internship, 55% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution.
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

Toronto, ON โ€ข On-site, Remote

CA$100/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Turing

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.


What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.


Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.


Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.


Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.


Offer Details

  • Commitment: Flexible, 10โ€“30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.


After applying, youโ€™ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.


Weโ€™re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.