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Sas Developer Jobs in Quebec (NOW HIRING)

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

... in SAS/SQL statistical programming tools (R or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible for a wide range of flexible benefits to help promote ...

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

Proficiency in statistical/econometric and machine learning models * proficiency in SAS/SQL statistical programming tools (R or Python). Your benefits In addition to competitive compensation, upon ...

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

Proficiency in statistical/econometric and machine learning models * proficiency in SAS/SQL statistical programming tools (R or Python). Your benefits In addition to competitive compensation, upon ...

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All JobsSas Developer JobsSas Developer Jobs in Quebec

Sas Developer information

See Quebec salary details

$24

$56

$77

How much do sas developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for sas developer in Quebec is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Sas Developer vs Data Analyst?

AspectSas DeveloperData Analyst
Required CredentialsProficiency in SAS programming, often with a degree in computer science, statistics, or related fieldsDegree in statistics, mathematics, or related fields; skills in data visualization and analysis tools
Work EnvironmentTypically in IT or analytics teams within finance, healthcare, or pharma industriesIn business, marketing, or finance departments analyzing data for insights
Employer & Industry UsageUsed by organizations needing advanced data processing and reporting with SASUsed across various industries for interpreting data and supporting decision-making

The main difference is that a Sas Developer specializes in developing and maintaining SAS-based data solutions, while a Data Analyst focuses on interpreting data and generating insights, often using a variety of tools including SAS. Both roles require strong analytical skills, but Sas Developers are more technical and programming-focused, whereas Data Analysts emphasize data interpretation and communication.

What Is a SAS Developer?

A SAS developer has extensive experience with SAS, a computer program developed by the SAS Institute. As a SAS developer, your job duties include improving and writing program-specific code, developing data sets and projects, and performing marketing analysis using reports you’ve created. This job generally requires highly specialized IT skills, including familiarity with other computer programs and mainframe programming languages, and is a great way to advance your career in tech. Of course, you must have previous job experience working with SAS. Other qualifications include a bachelor’s degree in computer science or related field, though some employers prefer a master’s degree. In some cases, several years of proven experience may be substituted for formal education.

What is a SAS Developer?

A SAS Developer is a professional who specializes in using SAS (Statistical Analysis System) software to manage, analyze, and interpret large sets of data. They design, develop, and implement data-driven solutions, often working in fields such as healthcare, finance, or research. SAS Developers write and optimize SAS programs to automate data processing, create reports, and ensure data quality. Their role often involves collaborating with data analysts, statisticians, and business teams to support decision-making.

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

To thrive as a SAS Developer, you need strong programming skills in SAS, a solid understanding of data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with SAS tools such as Base SAS, SAS/SQL, SAS Macros, and experience with databases or data warehousing systems is typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills and qualities are crucial for delivering accurate data solutions, collaborating with teams, and ensuring data-driven decision-making in organizations.

How does a SAS Developer typically collaborate with data analysts and business stakeholders on projects?

SAS Developers often work closely with data analysts to understand data requirements and ensure that data extraction, transformation, and loading (ETL) processes meet project needs. They also interact with business stakeholders to clarify reporting objectives and deliver actionable insights. Effective communication is key, as developers must translate technical findings into business-friendly reports, and may participate in regular meetings to align on project progress and priorities. Collaboration tools and version control systems are commonly used to streamline teamwork and document changes.
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What are popular job titles related to Sas Developer jobs in QC? For Sas Developer jobs in QC, the most frequently searched job titles are:
Sas Developer jobs near you
Infographic showing various Sas Developer job openings in Quebec as of May 2026, with employment types broken down into 100% Full Time. Highlights an 56% In-person, 33% Hybrid, and 11% Remote job distribution, with an average salary of $117,736 per year, or $56.6 per hour.
Credit Risk Modelling Senior Associate (Bilingual FR/EN)

Credit Risk Modelling Senior Associate (Bilingual FR/EN)

PwC

Montreal, QC • Hybrid

CA$73K - CA$122K/yr

Full-time

Posted 15 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants

Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Financial Risk

Management Level

Senior Associate

Job Description & Summary

A career in our Financial Services Risk and Regulatory (FS R&R) Credit Risk Modelling practice will provide you with the opportunity to help financial institutions rethink their approach to risk by developing a distinctive strategy and creating capabilities and performance. We play an important part in helping our clients assess, design and develop solutions that not only help them manage risk but also transform risk and complexity into a sustainable advantage.
Our team helps financial institutions with predictive modeling needs, including but not limited to, measure and manage the risk associated with borrowers, counterparties or other third parties who have a financial or contractual commitment to them, expected credit loss measurement (IFRS 9 ECL and CECL), capital measurement/stress testing. As part of the team, you'll help with credit risk modeling, model risk management as well as climate risk modeling for financial institutions.

Meaningful workyou'llbe part of

As a Credit Risk Modelling Senior Associate,you'llwork as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:

  • Model development, validation and implementation of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9).Assistassurance teams with reviews of clients' model development and validation processes

  • AI and machine learning model development and validation

  • Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes

  • Collaborate with the team members at various levels to lead and develop compelling client proposals, white papers, thought leadership and points of view, describing the business challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling etc.

  • Build andmaintaineffective,trustingand collaborative client relationships

Experiences and skillsyou'lluse to solve

  • Sufficient experience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations (e.g.IFRS9)

  • Development,implementationand assessment of quantitative credit risk measurement methodologies

  • Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk managementpoliciesand risk management organization structures

  • Significant experienceand proven ability in at least one of the following programming languages/softwares: Python, R, SQL, SAS, C++, etc.

  • Master's degree in Economics, Statistics, Mathematics, Physics, Engineering, Financial Engineering, DataScience orother relevant fields would bean asset

  • PRM, FRM or CFA designation would be an asset

  • Proven abilities, especially creative problem-solving, toutilizecredit risk management software,dataandmethodologyin the completion of client engagements, including leveraging related technology vendors and their application

  • Communicationsskillsdemonstratedthrough the ability to write proposals, reports, presentations, etc.

  • Demonstrated ability to manage and prioritize multiple projects

  • A demonstrated commitment to valuing differences and working alongside diverse people and perspectives

  • The successful candidaterequiresfluency in English, in addition to French as they willbe requiredto support or collaborate with English-speaking clients, colleagues and/or stakeholdersduring the course oftheir employment with PwC Canada

  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $73,400 - $122,400. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, Self-Awareness, Statistical Analysis Software, Statistical Consulting {+ 3 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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