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Statistics Validator Jobs in Delaware (NOW HIRING)

Sallie Mae

Manager, Model Risk

Newark, DE · On-site

Perform quantitative analysis and testing using relevant statistical techniques and programming tools such as Python or R. * Prepare clear, well-supported validation reports and present conclusions ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Collect, clean, and validate data to ensure accuracy and reliability. * Analyze large datasets using statistical methods and data visualization techniques. * Interpret data and present findings to ...

Citi

Credit Portfolio Officer

Wilmington, DE · Hybrid

$151K - $175K/yr

Statistical analysis and quantitative analytics; Behavioral segmentations; Predictive power and model stability validation; Automation of reporting; Profit and loss analysis; and SAS, SQL, Tableau ...

Citigroup, Inc.

Credit Portfolio Officer

Wilmington, DE · On-site

$151K - $175K/yr

Statistical analysis and quantitative analytics; Behavioral segmentations; Predictive power and model stability validation; Automation of reporting; Profit and loss analysis; and SAS, SQL, Tableau ...

Hologic

Lead Design Assurance Engineer

Newark, DE · On-site

$119K - $186K/yr

Thorough understanding of test method validation, statistical methods, and failure investigations/root cause analysis. Skills: * Proven ability to lead design assurance efforts across the product ...

Hologic Inc.

Lead Design Assurance Engineer

Newark, DE

$119K - $186K/yr

Thorough understanding of test method validation, statistical methods, and failure investigations/root cause analysis. Skills: * Proven ability to lead design assurance efforts across the product ...

Delaware Solid Waste Authority

Engineer

Dover, DE · On-site

Must possess a valid driver's license. Knowledge of the principles and practices of engineering ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

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All JobsStatistics Validator JobsStatistics Validator Jobs in Delaware

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 Delaware?

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

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

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

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Delaware as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution.

Manager, Model Risk

Newark, DE • On-site

Sallie Mae
Finance and Insurance • 1 - 5K employees
Learn more about Sallie Maeexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Sallie Mae rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

When you join Sallie Mae, you become a champion for all students.
We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.
We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
Position Summary
The Manager, Model Risk is a senior individual contributor responsible for independently leading model validation activities and providing effective challenge across the model lifecycle. The role operates within the second line of defense and provides independent effective challenge evaluating the conceptual soundness, data, methodology, implementation, performance, limitations, and governance of models used across the enterprise and supports compliance with the organization's Model Risk Management framework and applicable regulatory expectations.
Key Responsibilities
  • Independently plan and execute risk-based validations of new and existing models, including assessments of conceptual soundness, data quality, methodology, assumptions, implementation, performance, limitations, and documentation.
  • Lead validation engagements from scoping through final reporting, including the development of testing approaches, documentation of findings, and communication of conclusions.
  • Provide independent effective challenge to model developers, owners, and users and assess whether identified model risks are appropriately understood, documented, and mitigated.
  • Evaluate model performance monitoring, change management, ongoing review, and governance practices for alignment with the Model Risk Management framework and applicable regulatory expectations.
  • Perform quantitative analysis and testing using relevant statistical techniques and programming tools such as Python or R.
  • Prepare clear, well-supported validation reports and present conclusions, limitations, and findings to business partners, senior management, governance committees, and regulators, as appropriate.
  • Partner with model development, risk, finance, technology, and business teams while maintaining independent second-line oversight.
  • Contribute to enhancements of model validation practices, procedures, templates, and risk assessment methodologies.

Qualifications
  • Bachelor's degree in mathematics, statistics, economics, finance, data science, engineering, or a related quantitative field.
  • 5+ years of direct experience performing model validation, independent model review, or closely related model risk oversight within financial services.
  • Demonstrated experience evaluating model conceptual soundness, data, assumptions, methodology, implementation, performance, limitations, and ongoing monitoring.
  • Proficiency in Python, R, SAS, SQL, or comparable analytical tools used to independently test and assess models.
  • Strong knowledge of quantitative analysis, statistical techniques, model governance, and model risk management principles.

Exceptional written and verbal communication skills, with the ability to document defensible conclusions, communicate technical issues clearly, and influence stakeholders through effective challenge.
Preferred Skills
  • Experience validating credit risk, allowance, forecasting, stress testing, decisioning, or other financial risk models.
  • Working knowledge of applicable model risk management guidance and industry practices, including SR 11-7 or comparable regulatory expectations.
  • Experience validating and governing risk, financial, or forecasting models within the financial services industry, including familiarity with CECL framework models and related regulatory, accounting, and model risk management expectations.

Value Proposition
Join a high-impact second line of defense function that plays a critical role in shaping the organization's risk posture and decision-making. As Manager, Model Risk, you will operate at the intersection of quantitative analytics, governance, and regulatory engagement, providing independent oversight that directly influences strategic outcomes across credit, finance, and enterprise risk.
  • Own complex validation engagements from initial scoping through final reporting and issue follow-up.
  • Apply independent judgment and effective challenge to models that support important credit, finance, and enterprise risk decisions.
  • Influence enhancements to model risk practices and governance without direct people-management responsibility.
  • Expand technical, regulatory, and executive communication capabilities across a diverse model portfolio.

This role is suited for an experienced model validation professional seeking meaningful individual-contributor responsibility, broad model exposure, and the opportunity to influence model risk practices across the enterprise.
The Americans with Disabilities Act
The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.
Feeling your best helps you do your best:
Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries
  • Bonus incentives
  • Generous PTO, Floating Holidays and 12 Federal Holidays observed
  • Support for financial-well-being and retirement 401k with employer match
  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
  • Employer paid short-term/long-term disability and basic life insurance
  • Flexible hybrid working arrangements.
  • Paid parental leave and adoption reimbursement programs
  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
  • Tuition Reimbursement and Family Scholarship Programs
  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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