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Quant Python Remote Jobs in Toronto, ON (NOW HIRING)

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... Python, Scala, Java, or R. * [Desired] Built solutions with public cloud providers such as AWS ...

Proficiency in Python and associated data science technologies * Experience with data visualization ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

... quantitative discipline * 5-8 years of experience in data engineering with proven track record of ... Expert Python programming skills including inheritance, reflection, meta-programming, and advanced ...

Quant Python Remote information

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are popular job titles related to Quant Python Remote jobs in Toronto, ON? For Quant Python Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Toronto, ON look for? The top searched job categories for Quant Python Remote jobs in Toronto, ON are:
Infographic showing various Quant Python Remote job openings in Toronto, ON as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Product Manager - Computer Vision & Data Products (Remote, Canada)

Zesty.ai

Toronto, ON • Remote

Other

Posted 11 days ago


Job description

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

  • Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
  • Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
  • Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
  • Work closely with data scientists and software engineers as a key member of the product development team
  • Act as the model owner and subject matter expert when interfacing with Regulators and Customers
  • Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
  • Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

  • 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

  • Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
  • Outstanding communication skills, well-versed in building executive-style presentations
  • Ability to manage multiple/competing priorities and deliver on time
  • Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
  • Proficient in SQL, Excel, Python
  • Must be legally eligible to work in Canada

Nice to Have:

  • Exposure to insurance, real estate, and risk modeling
  • Experience working with computer vision models

Why ZestyAI:

  • Be a part of a well-funded growth-stage start-up
  • Work with a high-performance product team and cutting-edge development team
  • Market competitive comp and equity incentives to give you a stake in our future
  • Remote-first policy
  • Flexible Time Off
  • Comprehensive benefits package
  • Home office setup stipend
  • Annual Learning and Development allowance
  • An upbeat and collaborative work culture
  • Company-sponsored outings and offsites