MS/MA or MBA is desired. • Experience with numerical and statistical tools: e.g. SAS, MATLAB, S ... model validation and reporting. · Knowledge of regulatory guidance on model risk management and ...
MS/MA or MBA is desired. • Experience with numerical and statistical tools: e.g. SAS, MATLAB, S ... model validation and reporting. · Knowledge of regulatory guidance on model risk management and ...
Director, Statistics
Piscataway, NJ · On-site
$200K - $230K/yr
Use appropriate statistical design and validation tools to assess and improve measurement system accuracy and precision * Manage, administer, and foster development of direct reports * Manage and ...
Director, Statistics
Piscataway, NJ · On-site
$200K - $230K/yr
Use appropriate statistical design and validation tools to assess and improve measurement system accuracy and precision * Manage, administer, and foster development of direct reports * Manage and ...
Director, Statistics
Piscataway, NJ · On-site
$200K - $230K/yr
Use appropriate statistical design and validation tools to assess and improve measurement system accuracy and precision * Manage, administer, and foster development of direct reports * Manage and ...
Director, Statistics
Piscataway, NJ · On-site
$200K - $230K/yr
Use appropriate statistical design and validation tools to assess and improve measurement system accuracy and precision * Manage, administer, and foster development of direct reports * Manage and ...
Sr. Principal Statistics
Paramus, NJ · On-site
Provide statistical and validation support for statistical analysis, analysis datasets and TFL Review study report, manuscripts and other documents related to statistics * Work on responses to health ...
Quick apply
Sr. Principal Statistics
Paramus, NJ · On-site
Provide statistical and validation support for statistical analysis, analysis datasets and TFL Review study report, manuscripts and other documents related to statistics * Work on responses to health ...
... provide statistical support such as reviewing Case Report Form (CRF) and guidance, validating randomization scheme and developing Study Quality Surveillance Plan (SQS), reviewing Independent ...
... provide statistical support such as reviewing Case Report Form (CRF) and guidance, validating randomization scheme and developing Study Quality Surveillance Plan (SQS), reviewing Independent ...
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Biostatistician II
Basking Ridge, NJ · On-site
... statistical validation, results interpretation, and CSR input/review. - Serve as the main statistical contact for assigned studies and projects. - Provide guidance to study teams on statistical ...
Quick apply
Biostatistician II
Basking Ridge, NJ · On-site
... statistical validation, results interpretation, and CSR input/review. - Serve as the main statistical contact for assigned studies and projects. - Provide guidance to study teams on statistical ...
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
$200K - $285K/yr
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
$200K - $285K/yr
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
$250 - $350/hr
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President
Manhattan, NY · On-site
$250 - $350/hr
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases.
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Great Neck, NY · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Great Neck, NY · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Orange, NJ · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Orange, NJ · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Ozone Park, NY · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Senior Statistical Analyst
Ozone Park, NY · On-site
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R. *Generate and validate Tables, Listings, and Figures (TLFs) for clinical study ...
Statistics Validator information
What is a statistics validator?
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 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.
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.
How do you become a statistics validator?
To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.
Is a statistics validator job in demand?
Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.
What are popular job titles related to Statistics Validator jobs in New York?
For Statistics Validator jobs in New York, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in New York look for?
The top searched job categories for Statistics Validator jobs in New York are:
What cities in New York are hiring for Statistics Validator jobs?
Cities in New York with the most Statistics Validator job openings:
Full-time
Re-posted 15 days ago
Job description
Essential Function / major duties and responsibilities of the job
Strategic
• The Model Validator is responsible for validating CLS models, maintaining model validation standards and procedure documents, engaging with CLS MRM stakeholders on model risk matters, and MRM reporting.
Operational
• Conduct model validation activities based on internal MRM policy and procedures.
• Conduct and perform quality assurance for model risk reporting.
• Communicate effectively with CLS businesses on model risk matters.
• Collaborate with the Model Governance to ensure model governance and standards are appropriate for the firm’s risk profile and ensure enterprise-wide adherence.
Leadership
• Execute model validation.
• Enhance capabilities to operate MRM developed challenger/benchmark models.
Experience / essential and desired for successful job performance
• 0-3 years’ experience in the model risk management at a regulated financial institution.
• Understanding of settlement and clearing, and the differences is a plus.
• Knowledge of US Banking Regulations (Federal Reserve Board) is a plus.
• Experience in working with statistical models.
Qualifications / Certifications
• Bachelor’s degree is required; MS/MA or MBA is desired.
• Experience with numerical and statistical tools: e.g. SAS, MATLAB, S-Plus, R, Python, C++.
Knowledge, skills and abilities / competencies required for successful job performance
· Attention to detail to ensure consistent, correct, and accurate execution of model validation and reporting.
· Knowledge of regulatory guidance on model risk management and industry best practice.
· Knowledge of capital market products, esp. FX.
· Strong verbal and written communication skills.
Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position
· Excellent interpersonal communication skills, both written and verbal.
· High ethical standards and a profound sense of integrity and confidentiality.
· Challenging assumptions and maintaining independence and objectivity.
· Build consensus, to influence both internal and external stakeholders.
· Results oriented team player.
· Ability to effectively take and drive initiative.
· Self-starter, energetic; strive for excellence.