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Quantitative Model Validation Analyst Jobs in Indiana

campus4tech

Data Analyst

Indianapolis, IN · On-site

... Data Analyst validates and analyzes a variety of agency data sources to garner public health ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The incumbent will validate and analyze agency data to garner public health insight for specific ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

Parkview Health

Financial Analyst

Columbia City, IN · On-site

$19.75 - $29.62/hr

... validate and articulate results. Reconciliation of sub-systems and related balance sheet accounts ... quantitative field. CPA a plus. Experience: Minimum of three years public accounting audit ...

Parkview Health

Financial Analyst

Columbia City, IN

... validate and articulate results. Reconciliation of sub-systems and related balance sheet accounts ... quantitative field. CPA a plus. Experience: Minimum of three years public accounting audit ...

Parkview Health

Financial Analyst

Columbia City, IN

... validate and articulate results. Reconciliation of sub-systems and related balance sheet accounts ... quantitative field. CPA a plus. Experience: Minimum of three years public accounting audit ...

CAI

Validation Engineer

Indianapolis, IN · On-site

$72K - $80K/yr

... relationships - Models integrity and company values - Seeks out growth and breakthrough ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Indiana

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 9, 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:
Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in Indiana as of June 2026, with employment types broken down into 59% Full Time, 33% Part Time, and 8% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.

Data Analyst

campus4tech

Indianapolis, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Analyst
Job Location: Indianapolis IN, 46204
Job Location: Hybrid
Contract Duration: 11 Months
Note: W2 and C2C candidates can apply
Note: Candidate must be local to Indiana location or they must have a local Indiana Address as we need local candidates for this role
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

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