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Quantitative Model Validation Analyst Jobs in Indiana

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

... quantitative testing including backtesting, stress testing, benchmarking, and scenario analysis * Assess model methodology, assumptions, controls, and documentation * Produce detailed validation ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... These models could be rules-based or developed with more advanced statistical, mathematical ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... These models could be rules-based or developed with more advanced statistical, mathematical ...

Sr Analyst

Francisco, IN · On-site

$83K - $109K/yr

Conduct quantitative analyses (such as ROI analysis and scenario planning) to identify and size ... Create comprehensive forecasting models on business impact and budget. * Build financial reporting ...

The Data Analyst will work primarily within Microsoft Fabric to query, model, validate, and present data through scalable Power BI semantic models and reports. As our Data Analyst, you will know you ...

Technical expertise in data management, statistical analysis, qualitative/quantitative research methods. * Experience in predictive modeling and/or machine learning techniques (e.g., clustering ...

Partner with Finance, Billing, and LPM teams to validate data and assumptions. * Maintain high ... modeling and complex analytical work. * Strong quantitative aptitude with exceptional attention to ...

Revenue Management Analyst

Carmel, IN · On-site

$75K - $85K/yr

... Quantitative Degree (Finance, etc.) required * 2-5 years of experience as a data analyst/statistical analyst/model developer or reporting analyst * Demonstrated experience managing small to medium ...

Revenue Management Analyst

Carmel, IN · On-site +1

$75K - $85K/yr

... Quantitative Degree (Finance, etc.) required * 2-5 years of experience as a data analyst/statistical analyst/model developer or reporting analyst * Demonstrated experience managing small to medium ...

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Showing results 1-20

Quantitative Model Validation Analyst information

See Indiana salary details

$53.8K

$127.4K

$228.4K

How much do quantitative model validation analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for quantitative model validation analyst in Indiana is $127,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $138,500.00 per year, depending on experience, location, and employer.

What are Quantitative Model Validation Analysts?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by Quantitative Model Validation Analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

What is the difference between Quantitative Model Validation Analyst vs Quantitative Risk Analyst?

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Quantitative Model Validation Analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.
What are popular job titles related to Quantitative Model Validation Analyst jobs in Indiana? For Quantitative Model Validation Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Quantitative Model Validation Analyst jobs in Indiana look for? The top searched job categories for Quantitative Model Validation Analyst jobs in Indiana are:
What cities in Indiana are hiring for Quantitative Model Validation Analyst jobs? Cities in Indiana with the most Quantitative Model Validation Analyst job openings:

Model Validation Lead

Guidehouse

Indianapolis, IN

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

What You Will Do

As a Model Validation Lead, you will provide technical and programmatic leadership for the independent validation, governance, and risk management of advanced analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting missioncritical use cases across defense and federal financial domains, ensuring models are sound, explainable, compliant, and operationally fit for purpose.

You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and government counterparts to define validation standards, execute reviews, and ensure alignment with federal, DoD, and financial governance expectations.

Key responsibilities include:

  • Lead endtoend model validation activities for ML, AI, and advanced analytical models

  • Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability

  • Review and challenge model assumptions, feature engineering, training approaches, and performance metrics

  • Assess model robustness, sensitivity, and limitations across operational scenarios

  • Evaluate model explainability, transparency, and interpretability for technical and nontechnical stakeholders

  • Partner with MLOps and engineering teams to ensure models are productionready and compliant with governance requirements

  • Establish validation documentation standards, review artifacts, and approval processes

  • Support audits, reviews, and governance forums related to AI/ML risk and compliance

  • Advise clients on model risk management, AI governance, and responsible AI practices

  • Mentor junior staff and serve as a technical authority within analytics and AI engagements

What You Will Need
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field

  • FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

  • Experience validating ML, statistical, and predictive models in regulated or highrisk environments

  • Experience in Python and analytics tooling used to assess, test, and challenge models

  • Experience working with largescale datasets and complex analytical pipelines

  • Experience leading small teams or workstreams and interfacing directly with senior stakeholders

What Would Be Great to Have
  • Strong understanding of model risk management concepts, including governance, documentation, and independent review

  • Experience supporting the Department of Defense, including exposure to Advana or enterprise analytics platforms

  • Handson experience validating models using federal financial, budgetary, accounting, or audit data

  • Experience validating models deployed on Databricks (e.g., Spark, MLflow)

  • Ability to translate technical findings into clear, defensible conclusions for government and executive audiences

  • Exposure to models developed or operationalized in Palantir Foundry

  • Familiarity with MLOps practices and how validation integrates into CI/CD pipelines

  • Experience in Azure Government, AWS GovCloud, or other regulated cloud environments

  • Knowledge of Responsible AI, fairness, bias detection, and explainability techniques

  • Experience supporting internal or external audits of AI/ML systems

  • Master's degree or PhD in a quantitative or technical discipline


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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