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Quantitative Model Validation Analyst Jobs in Indiana

Collect, validate, and organize financial data to ensure accuracy for system loads * Assist in ... Exceptional communication skills, to include verbal, written, visual, and quantitative * Adept at ...

Collect, validate, and organize financial data to ensure accuracy for system loads * Assist in ... Exceptional communication skills, to include verbal, written, visual, and quantitative * Adept at ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Collect, validate, analyze, and report Division and program metrics through dashboards, charts ... Support model-based engineering, systems-engineering assessments, technical studies, requirements ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Most cases have quantitative and qualitative elements, though some will be more quantitative and ... Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

Collect, validate, analyze, and report Division and program metrics through dashboards, charts ... Support model-based engineering, systems-engineering assessments, technical studies, requirements ...

Showing results 21-40

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 Aug 18, 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 is a quantitative model validation analyst?

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 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 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 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:

Infographic showing various Quantitative Model Validation Analyst job openings in Indiana as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.

Global Incentive Compensation Analyst

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 245 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description
About Salesforce:
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we
empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place.
Position Description
The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.
Responsibilities:
  • Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
  • Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  • Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  • Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
  • Pay-for-Performance Framework:
    against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
  • compensation structures across various roles and performance tiers.
  • Qualifications
  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
  • Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
  • Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
  • SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
  • Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
  • Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
  • Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
  • Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
  • CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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