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Python Finance Jobs in Quebec (NOW HIRING)

Knowledge of Python is a strong asset * High level of attention to detail and strong motivation * Good knowledge of financial instruments * French and English required * Ability to communicate ...

Key Responsibilities • Define the rules, don't just follow them -- Lead end-to-end financial risk ... Python/Sklearn/XGBoost/LightGBM, and deploy them into the production risk stack. • Counter-strike ...

Apply Early

Key Responsibilities • Define the rules, don't just follow them -- Lead end-to-end financial risk ... Python/Sklearn/XGBoost/LightGBM, and deploy them into the production risk stack. • Counter-strike ...

Apply Early

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

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Python Finance information

See Quebec salary details

$27K

$108.4K

$186.5K

How much do python finance jobs pay per year?

As of Jul 4, 2026, the average yearly pay for python finance in Quebec is $108,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $140,500.00 per year, depending on experience, location, and employer.

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

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

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.
What are popular job titles related to Python Finance jobs in Quebec? For Python Finance jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Python Finance jobs in Quebec look for? The top searched job categories for Python Finance jobs in Quebec are:
What cities in Quebec are hiring for Python Finance jobs? Cities in Quebec with the most Python Finance job openings:
Infographic showing various Python Finance job openings in Quebec as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $108,378 per year, or $52.1 per hour.

Financial Risk Management Consultant

Beneva

Longueuil, QC • Hybrid

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Official Internal Job Title:

Financial Risk Management Consultant

Status:

Regular

Job Description:

En tant que conseiller(-ere) en actuariat - gestion des risques, vous jouez un role cle dans le developpement, l'evolution et la mise en uvre du cadre de gestion integree des risques lies a l'assurance de dommages. En collaboration avec l'actuariat corporatif et les equipes de la vicepresidence executive assurance de dommages, vous veillez a ce que les risques soient adequatement mesures et geres selon l'appetit au risque, soutenant ainsi la solidite financiere et la strategie de Beneva.

Vous contribuez aux travaux lies a la solvabilite, notamment au processus ORSA, aux simulations de crise et aux cibles de capital, et vous preparez les analyses utilisees par les instances decisionnelles, incluant le comite des risques financiers, la haute direction et le Conseil d'administration.

Joignez-vous a une organisation ou vous pourrez faire grandir votre expertise!

Vous vous realiserez dans les fonctions suivantes :

  • Contribuer a l'evolution et a la realisation du processus ORSA

  • Mener le processus d'attestation du Test du capital minimal (TCM)

  • Developper et faire evoluer les outils d'identification, d'evaluation et de suivi des risques, dont le modele de capital interne

  • Coordonner les simulations de crise et synthetiser leurs resultats pour les instances

  • Effectuer des analyses recurrentes ou ponctuelles pour eclairer les decisions strategiques

  • Participer a la revision de l'appetit au risque, a l'identification et au suivi des indicateurs de risques

  • Assurer l'evolution de l'appetit pour l'assurance de dommages et la modelisation des indicateurs, incluant leur integration dans la strategie de reassurance

  • Produire les rapports et tableaux de bord destines a la haute direction et au Conseil d'administration

  • Contribuer a la redaction des politiques, directives et procedures

  • Collaborer a la validation des modeles dans le cadre de la gestion du risque de modele

  • Participer aux travaux lies a la gestion du risque climatique

  • Offrir un soutien aux autres domaines de risques financiers (marche, credit, liquidite), au besoin

  • Se tenir a jour sur les meilleures pratiques et methodes en gestion des risques

Vos talents et qualifications :

  • Baccalaureaten actuariat

  • Titre de FCAS, FICA, CFA ou FRM,un atout

  • Minimum de7ans d'experience pertinente en gestion des risques au sein d'une equipe de2e ligne de defense,en actuariat corporatif,en modelisationfinanciere et actuarielle,ou dans un domaine connexe

  • Connaissance d'outils quantitatifs et de modelisation (Excel, VBA, SAS, R, Python, Power BI)

  • Maitrise de la langue francaise, tant a l'oral qu'a l'ecrit, ainsi qu'une maitrise avancee de la langue anglaise, tant a l'oral qu'a l'ecrit, en raison de la nature des taches ou d'interactions avec des collegues, partenaires, clients ou fournisseurs anglophones, ou afin de repondre aux objectifs de croissance de l'entreprise.

#S1

#LI-Hybrid

Beneva is an equal opportunity employer, so we encourage all Women, persons with disabilities, Indigenous people as well as visible and ethnic minorities to apply.

Purpose : True to its purpose, Beneva places people at the heart of its actions and contributes to the well-being of the community. It accompanies its clients in all stages of their lives, both for their insurance and for their financial services.

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@beneva.ca