Prerequisites * A master's or bachelor's degree in statistics, actuarial science, finance ... or model validation * Advanced expertise in statistical methods and credit risk modelling ...
Prerequisites * A master's or bachelor's degree in statistics, actuarial science, finance ... or model validation * Advanced expertise in statistical methods and credit risk modelling ...
CA$167K - CA$190K/yr
Available position Quantum System Validation Team Lead (permanent position, 40 hour per week ... Statistical analysis of complex experimental systems * Cross-functional technical leadership
CA$167K - CA$190K/yr
Available position Quantum System Validation Team Lead (permanent position, 40 hour per week ... Statistical analysis of complex experimental systems * Cross-functional technical leadership
Perform independent tests on the model (statistical tests, coherence tests, benchmarking, etc) to ... Write validation reports comprising tests performed, validation conclusions and findings addressed ...
Perform independent tests on the model (statistical tests, coherence tests, benchmarking, etc) to ... Write validation reports comprising tests performed, validation conclusions and findings addressed ...
CA$105K - CA$122K/yr
Data analysis and statistical interpretation * System-level validation and performance characterization * Reliability engineering or long-duration stability testing, an asset * Python programming and ...
CA$105K - CA$122K/yr
Data analysis and statistical interpretation * System-level validation and performance characterization * Reliability engineering or long-duration stability testing, an asset * Python programming and ...
Use advanced and innovative statistical, machine learning and artificial intelligence methods to ... quantitative model validation methods and update them to improve delivery speed * Identify ...
Use advanced and innovative statistical, machine learning and artificial intelligence methods to ... quantitative model validation methods and update them to improve delivery speed * Identify ...
Use advanced and innovative statistical, machine learning and artificial intelligence methods to ... quantitative model validation methods and update them to improve delivery speed * Identify ...
Use advanced and innovative statistical, machine learning and artificial intelligence methods to ... quantitative model validation methods and update them to improve delivery speed * Identify ...
Data Scientist, Model Validation
Levis, QC · On-site +1
As a data scientist, model validation, you help ensure that data is appropriately valued at each ... Use advanced and innovative statistical, machine learning and artificial intelligence methods to ...
Data Scientist, Model Validation
Levis, QC · On-site +1
As a data scientist, model validation, you help ensure that data is appropriately valued at each ... Use advanced and innovative statistical, machine learning and artificial intelligence methods to ...
Data Scientist, Model Validation
Montreal, QC · On-site +1
As a data scientist, model validation, you help ensure that data is appropriately valued at each ... Use advanced and innovative statistical, machine learning and artificial intelligence methods to ...
Data Scientist, Model Validation
Montreal, QC · On-site +1
As a data scientist, model validation, you help ensure that data is appropriately valued at each ... Use advanced and innovative statistical, machine learning and artificial intelligence methods to ...
A master's degree in statistics, finance, mathematics, data science, or a related quantitative field with relevant experience. * Significant experience (at least 5 years) in model validation, model ...
A master's degree in statistics, finance, mathematics, data science, or a related quantitative field with relevant experience. * Significant experience (at least 5 years) in model validation, model ...
Senior Model Risk & Validation Consultant
Quebec, QC · Hybrid
CA$120K - CA$145K/yr
Experience validating or reviewing statistical, predictive, machine learning models and AI systems. * Ability to clearly explain complex technical concepts to non technical stakeholders. #LI-AF1 #LI ...
Senior Model Risk & Validation Consultant
Quebec, QC · Hybrid
CA$120K - CA$145K/yr
Experience validating or reviewing statistical, predictive, machine learning models and AI systems. * Ability to clearly explain complex technical concepts to non technical stakeholders. #LI-AF1 #LI ...
... validate machine learning models, predictive models, and advanced analytical solutions * Perform exploratory data analysis, feature engineering, and model performance evaluation * Develop statistical ...
... validate machine learning models, predictive models, and advanced analytical solutions * Perform exploratory data analysis, feature engineering, and model performance evaluation * Develop statistical ...
Senior Data Scientist
Montreal, QC · On-site
... statistics. * Use data science techniques to find data patterns, anomalies, and optimization opportunities. * Execution, evaluation, and reporting of A/B testing amp; cross-validating models to ...
Senior Data Scientist
Montreal, QC · On-site
... statistics. * Use data science techniques to find data patterns, anomalies, and optimization opportunities. * Execution, evaluation, and reporting of A/B testing amp; cross-validating models to ...
Senior Product Manager, Games (Remote)
Montreal, QC · On-site +1
Ongoing establishment of hypotheses and validation for every game and enhancement. * Use playtests ... Your stats: * 5+ year of product management experience * Bachelor's Degree or equivalent ...
Quick apply
Senior Product Manager, Games (Remote)
Montreal, QC · On-site +1
Ongoing establishment of hypotheses and validation for every game and enhancement. * Use playtests ... Your stats: * 5+ year of product management experience * Bachelor's Degree or equivalent ...
Design, develop, and maintain quantitative and statistical models to forecast the evolution of the ... Evaluate model performance, and ensure their validation, continuous improvement, and adjustment ...
Design, develop, and maintain quantitative and statistical models to forecast the evolution of the ... Evaluate model performance, and ensure their validation, continuous improvement, and adjustment ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
Your role will be to validate, inspect and approve finished and development products, as well as ... Publish quality and production statistics * Verify supplier certificates and inspection reports ...
Your role will be to validate, inspect and approve finished and development products, as well as ... Publish quality and production statistics * Verify supplier certificates and inspection reports ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...
The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement ... Use machine learning and advanced statistical methods to identify trends and patterns in complex ...
Statistics Validator information
What are Statistics Validators?
Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.
What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?
Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.
What is the difference between Statistics Validator vs Data Analyst?
| Aspect | Statistics Validator |
|---|
| Required Credentials | Typically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common |
|---|
| Work Environment | Primarily office-based, working with data validation processes, quality assurance, and compliance |
|---|
| Employer & Industry | Financial institutions, research organizations, government agencies, and data-driven companies |
|---|
| Comparison with Data Analyst |
|---|
The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.
What is the highest paying job in data?
In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with relevant certifications and experience.
What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?
To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.
Do statisticians make a lot of money?
Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher pay.
What does a statistics validator do?
A statistics validator reviews and verifies statistical data, methods, and results to ensure accuracy, consistency, and compliance with standards. They often use statistical software and have strong analytical skills to identify errors or discrepancies in datasets and reports.
What qualifications do I need for statistics?
A statistics validator typically needs a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills, proficiency with statistical software like R or SAS, and attention to detail are essential for verifying data accuracy and integrity.
What are popular job titles related to Statistics Validator jobs in Quebec? For Statistics Validator jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Quebec look for? The top searched job categories for Statistics Validator jobs in Quebec are:
Full-time
Medical, Retirement
Re-posted 19 days ago
Job description
A career as a Senior Data Scientist, Validating models in the Risk Management Models team at National Bank means acting as a specialist who ensures the robustness, reliability and regulatory compliance of credit risk models. This position allows you to have a concrete impact on the financial strength of the organisation thanks to your expertise in statistical modelling, independent validation and regulatory frameworks.
Your role is key : You help strengthen the Bank's regulatory credibility and support rigourous governance of the models used for regulatory capital, ICAAP, IFRS 9 and stress testing exercises.
Your job
- Assess the conceptual soundness of credit risk models, including mathematical formulation, statistical rigour, assumptions, limitations and alignment with regulatory requirements and internal standards
- Analyze the quality, relevance and integrity of the data used in the models, including key assumptions, exclusions, outliers and documentation quality
- Test the performance and accuracy of models using robustness and stability analyses, sensitivity tests, benchmarks and impact analyses
- Identify model uncertainties and limitations, assess the overall level of model risk and ensure that issues are understood, documented and adequately escalated in the governance framework
- Draft clear, rigourous and well-structured validation reports highlighting findings, conclusions and impacts on the use of models and risk management
- Support the team during regulatory reviews, internal and external audits by providing solid technical expertise and high-quality documentation.
- Maintain collaborative relationships and act as an expert·with key stakeholders (modelling teams, model owners, model risk management and senior management) by providing independent judgement, expert advice·and sound recommendations.
- Recommending and implementing improvements to the validation framework and practises in order to meet internal needs and align with regulatory requirements and industry practises.
Your team
Within the Risk Management sector, you are part of a team specialised in credit risk model validation and you report to the Senior Manager - Model Validation. The team stands out for its in-depth technical expertise, independence of judgement and ability to influence decisions in demanding regulatory contexts. We work diligently, collaboratively and proactively to ensure sound and compliant governance of models across the Bank.
Our goal is to offer you maximum flexibility to promote your quality of life, thanks to a hybrid work environment and flexible work schedules.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- A master’s or bachelor’s degree in statistics, actuarial science, finance, economics, mathematics or a related quantitative field
- Approximately five years or more of relevant experience in a financial institution, credit risk modelling and/or model validation
- Advanced expertise in statistical methods and credit risk modelling, including key parameters such as probability of default, loss given default and exposure at default (e.g., PD, LGD, EAD).)
- Solid knowledge of ICAAP and IFRS 9 frameworks and their governance and modelling implications
- Master the Basel II and III regulatory framework and its application to credit risk models and capital requirements.
- Excellent knowledge of analytical and programming tools such as SAS Viya, SAS Enterprise Guide, SQL Python, MATLAB, R or equivalent.
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!