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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 ...

... 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 ...

Design, implement, and maintain complex databases, access methods, validation checks, security ... Apply data analysis and data modeling techniques to establish, modify, or maintain complex data ...

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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 Jul 28, 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:
Infographic showing various Quantitative Model Validation Analyst job openings in Indiana as of July 2026, with employment types broken down into 70% Full Time, 4% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.
Quantitative Modeling and Research Analyst (II or Senior)

Quantitative Modeling and Research Analyst (II or Senior)

Federal Home Loan Bank of Indianapolis

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago


Job description

Is it a Bank? A cooperative? A leader in affordable housing? We are all those things and more!
Our core mission at FHLBank Indianapolis is to provide reliable and readily available liquidity to our member institutions to support housing finance and community development. Simply put, we're a bank for banks, credit unions, community development financial institutions and insurers across Indiana and Michigan. We also assist in meeting the economic and housing needs of communities and families through grants and subsidized advances that support affordable housing and economic development.
But enough about us, let's talk about you.
Are you looking for a company that views their employees as their greatest asset?
A company that's dedicated to making a difference in the community? So much so they pay their employees to volunteer?
Do you want to join a talented workforce that prioritizes equal opportunity within an inclusive culture, and promotes learning and development, unique skills/ideas, and employee engagement?
If you've said yes to these questions, then we might be a match!
Here is what we offer:
  • Flexible hybrid workforce model: Onsite three days a week and two days remote. We also offer remote flex days!
  • Fantastic, competitive pay and total rewards
  • Industry-high 401(k) match: up to 6% PLUS...an additional 4% contribution!
  • Tuition reimbursement assistance: To help you continue to develop personally and professionally.
  • Student loan repayment assistance: That's right, we will help you repay outstanding student loans!
  • Awesome Benefits Package: Medical, dental, vision benefits and even pet (you read that right) insurance!
  • Generous time off: Vacation, paid federal holidays, birthday month floating holiday, volunteer day and summer hours program
  • "Dress for your day" dress code: You choose the appropriate work attire based on what your day looks like.

Statistics show that it is less likely for some candidates to submit their application if they don't meet all the criteria within the job description. If this is you, we encourage you to give yourself a chance and submit your application anyway, as you may be the perfect match for this role!
Purpose:
The Quantitative Modeling and Research Analyst (II or Senior) is responsible for the development and maintenance of various financial models used across the organization. The role resides in the Modeling & Analytics Group (M&A) within the Enterprise Risk Management (ERM) department. Through these responsibilities, the M&A Group works closely with several lines of business, as well as with Information Technology, Model Risk Management, and Internal Audit.
The following statements are intended to describe the general nature and level of work being performed by people assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required. The Bank reserves the right to alter or amend this description at any time.
Specific Responsibilities:
  • Implements, tests, and operates a diverse range of models for loan valuation, pledged collateral hair-cut, probability of default, loss estimation, etc.
  • Utilizes modeling, statistical, and computational techniques to test, evaluate, and calibrate/tune various credit and market risk models, as well as to set data analytics complementary to model use.
  • Establishes and maintains model documentation for theory, settings, assumptions, change control, model performance monitoring, and model use guides in coordination with the Model Risk Management Group, as well as the Regulatory Advisory Bulletins.
  • Explains model details, theory, assumptions, and settings to Model Users and others across the organization.
  • Supports model validation requests and resolves model validation findings or recommendations.
  • Interacts directly with Model Validators and Regulators with regard to model settings, assumptions, implementation, etc.
  • Leads the process to develop required model enhancements.
  • Stays current on methodologies, statistical, mathematical, analytical, and computational techniques related to model management and development.

Competencies:
Business
  • Analytics Knowledge
  • Research Knowledge
  • Quantitative Implementation Knowledge

General
  • Maintaining Institutional Knowledge
  • Results-driven
  • Time Management

People
  • Communication
  • Interpersonal Skills

Position Requirements:
  • Graduate degree, Master's or PhD, in Mathematics, Quantitative Analysis, Statistics, Operations Research, Financial Engineering, or any other quantitative field. CFA or/and FRM certifications are a plus.
  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst doing quantitative research, risk management, or any other quantitative related work. Previous experience in model development is desired.
  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst in a commonly used programming language, such as Python, C/C++.
  • Experience with Asset/Liability and valuation software models, such as Polypaths, QRM is a plus.
  • Experience with database management concepts and tools, such as SQL is a plus.
  • Attention to detail, ability to multi-task, and high degree of initiative and independence.
  • Verbal, written, and interpersonal skills to communicate effectively with all levels of Bank personnel.
  • Must not have been convicted of any civil or criminal charge that would suggest a risk to Bank security.
  • Ability to work full-time.
  • Ability to uphold and model the Bank's Guiding Principles.

Hiring Range: Senior Analyst: $93,000 - $110,000, Analyst II: $85,000 - $100,000
Hiring ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.
FHLBank Indianapolis is an Equal Opportunity Employer.