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Python For Finance Jobs in Quebec (NOW HIRING)

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products * Implement pricing models (e.g., Black-Scholes Model) using Python

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products * Implement pricing models (e.g., Black-Scholes Model) using Python

Levio

Python Developer

Montreal, QC · Hybrid

Experience in the banking sector or within large financial institutions (required) ; * Strong ... Professional development allowance (PDA) for training, computer equipment, and physical activities

Kunai

Senior Software Engineer - Python

Montreal, QC · On-site

Montreal, Quebec - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial ...

United Airlines

Python+ DB Developer

Montreal, QC · On-site

Finance data domain knowledge is preferred Qualifications: * Bachelor's or Master's Degree The base ... The base compensation range listed for this position reflects the minimum and maximum target ...

Kunai

Senior Software Engineer - Python

Montreal, QC · On-site

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure ... Together, we are changing the world's relationship with financial services. At Kunai, we help our ...

National Bank

Corporate Finance Intern

Montreal, QC · On-site +1

At National Bank, we are continuously looking for talents with different experiences and ... Python, SQL or VBA. * Ability to synthesize large amounts of information and develop innovative ...

National Bank

Corporate Finance Intern

Montreal, QC · On-site +1

At National Bank, we are continuously looking for talents with different experiences and ... Python, SQL or VBA. Ability to synthesize large amounts of information and develop innovative ...

Societe Generale

Programmer Analyst

Montreal, QC · On-site

... the Financial Industry Regulatory Authority ("FINRA"). SKILLS AND QUALIFICATIONS: Must Have ... Proficient in Python for data manipulation, automation, and scripting. * Skilled in Power BI and ...

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Python For Finance information

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
Python For Finance jobs near you

Python Developer + Pricing

Jay Analytix

Montreal, QC • On-site

Full-time

Posted 13 days ago

Job description

Role Overview

We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The role involves working closely with front-office, risk, and quantitative teams to deliver scalable and accurate financial solutions.

Key Responsibilities
  • Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products
  • Implement pricing models (e.g., Black-Scholes Model) using Python
  • Build tools for valuation, P&L calculations, and risk analytics
  • Work with traders, quants, and risk teams to understand business requirements
  • Process and validate market data (interest rates, volatility, curves)
  • Optimize performance of pricing engines and analytics workflows
  • Ensure accuracy, consistency, and auditability of financial calculations
  • Develop APIs and services for integration with trading and risk platforms