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Statistics Validator Jobs in Illinois (NOW HIRING)

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

Validate a broad range of models used across credit risk, treasury management (ALM), finance, underwriting, and related areas, includes both traditional statistical models and artificial intelligence ...

AAR Corporation

Data Scientist

Wood Dale, IL

Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact. * Deploy and integrate models into production systems in collaboration with ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact. * Deploy and integrate models into production systems in collaboration with ...

AAR

Data Scientist

Wood Dale, IL · On-site

Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact. * Deploy and integrate models into production systems in collaboration with ...

Freseniusglobal

Validation Engineer

Melrose Park, IL

$65K - $80K/yr

Executes validation studies (utility, equipment, cleaning, process, computer, and new products) to ... Understanding of statistical analysis tools and methods. * Knowledge of cGMP room classifications ...

Fresenius Kabi

Validation Engineer

Melrose Park, IL · On-site

$65K - $80K/yr

Executes validation studies (utility, equipment, cleaning, process, computer, and new products) to ... Understanding of statistical analysis tools and methods. * Knowledge of cGMP room classifications ...

Freseniusglobal

Validation Engineer

Melrose Park, IL

$65K - $80K/yr

Executes validation studies (utility, equipment, cleaning, process, computer, and new products) to ... Understanding of statistical analysis tools and methods. * Knowledge of cGMP room classifications ...

Fresenius Kabi

Validation Engineer

Melrose Park, IL · On-site

$65K - $80K/yr

Executes validation studies (utility, equipment, cleaning, process, computer, and new products) to ... Understanding of statistical analysis tools and methods. * Knowledge of cGMP room classifications ...

Ace Technologies, Inc.

Validation Engineer

Chicago, IL · On-site

... validation, process improvement, testing, and inspection to ensure that products are ideal and ... Applies statistical process control (SPC) methods for analyzing data to evaluate the current ...

Danaher

Senior Engineer, Process Validation

Chicago, IL · On-site +1

$100K - $130K/yr

... apply statistical tools to evaluate process performance, including but not limited to process ... Mentor junior validation associates in Process Validation, cGMP regulations, and principles of ...

Danaher

Senior Engineer, Process Validation

Chicago, IL · On-site +1

$100K - $130K/yr

... apply statistical tools to evaluate process performance, including but not limited to process ... Mentor junior validation associates in Process Validation, cGMP regulations, and principles of ...

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Showing results 21-40

All JobsStatistics Validator JobsStatistics Validator Jobs in Illinois

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?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial 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 Illinois?

For Statistics Validator jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Illinois look for?

The top searched job categories for Statistics Validator jobs in Illinois are:

What cities in Illinois are hiring for Statistics Validator jobs?

Cities in Illinois with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Illinois as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution.

Lead Model Validation

Alliant

Chicago, IL • On-site

$95K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Alliant Insurance Services rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance

Job description

In this hybrid role based at our Chicago Headquarters, you will serve as a contributor within the second line of defense, perform independent model validations and support oversight of the Model Risk Management (MRM) program. Validate a broad range of models used across credit risk, treasury management (ALM), finance, underwriting, and related areas, includes both traditional statistical models and artificial intelligence (AI) models. Partner with model owners, users, and MRM leadership to assess model soundness, identify model risk, and support compliance with internal policies and regulatory guidance.
Essential Responsibilities
  • Independently execute model validations that are accurate, timely, and compliant with MRM policies, standards, and procedures across credit, market, operational risk, loss forecasting, stress testing, ALM, AML, fraud, pricing, and CECL models.
  • Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance.
  • Prepare and document validation reports, including findings, conclusions, and actionable recommendations for model owners and management.
  • Partner with AI Governance stakeholders to assist with review and onboarding on new AI solutions.
  • Assess ongoing performance monitoring results and identify potential model weaknesses, emerging risks, and areas requiring remediation.
  • Support the ongoing enhancement of model validation methods, tools, templates, and practices in alignment with evolving regulatory guidance and industry standards.
  • Review and challenge validation work performed by third-party vendors, including evaluation of methodologies, conclusion quality, and appropriateness of findings.
  • Partner with first-line model owners and users to support effective issue management, remediation planning, and closure of validation findings.
  • Present validation results and risk assessments to MRM leadership and other stakeholders in a professional and constructive manner.
  • Support model risk governance activities, new model onboarding, including inventory maintenance, periodic inventory recertification, and inventory reporting to applicable committees per MRM Standard.
  • Demonstrate discretion, integrity, and professionalism in handling sensitive information and managing differing viewpoints or conflicts.

Education & Years of Experience
  • Minimum - 4 Year Bachelors Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
  • Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
  • Minimum - 5 Years of Build, test, implement, or validate models within the financial services industry or related
  • Preferred - 7 Years of Build, test, implement, or validate models within the financial services industry or related

In Lieu of Education
  • 8 Years of Build, test, implement, or validate models within the financial services industry or related

Compensation & Benefits:
Typical hiring range: $95,100.00 to $163,100.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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