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Research Python Jobs in Montreal, QC (NOW HIRING)

Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build ... Experience working with quantitative research or trading desks. * Familiarity with model validation ...

Reusable Python packages and libraries for quantitative workflows. * Standardized solution templates for research-to-production workflows. * Orchestration patterns for recurring analytical or ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Remote Consumer Insights Participant

Laval, QC ยท Remote

CA$25 - CA$45/hr

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

Showing results 21-40

Research Python information

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Montreal, QC?

For Research Python jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Montreal, QC look for?

The top searched job categories for Research Python jobs in Montreal, QC are:

Infographic showing various Research Python job openings in Montreal, QC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Quantative Developer

Jay Analytix

Montreal, QC โ€ข Hybrid

Contractor

Re-posted 16 days ago


Job description

Quantitative Developer

Location: Montreal, Quebec, Canada - Hybrid Employment Type: Contract

About the Role

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities
  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.
Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.
Nice to Have
  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.
What We Offer
  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.
How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.

Employment Type: CONTRACTOR