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Model Risk Manager Jobs in Indiana (NOW HIRING)

Lead validations of financial models including credit risk, interest rate, mortgage, and asset-liability management models * Conduct quantitative testing including backtesting, stress testing ...

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

VP Risk & Compliance Solutions

Columbus, IN

$117.30K - $157.40K/yr

Oversees and provides guidance for the Compliance Management System, BSA Program, Vendor Management Program, Model Risk Management Program, Physical Security Program, and Corporate Insurance coverage.

VP Risk Compliance Solutions

Columbus, IN · On-site

$117.30K - $157.40K/yr

Oversees and provides guidance for the Compliance Management System, BSA Program, Vendor Management Program, Model Risk Management Program, Physical Security Program, and Corporate Insurance coverage.

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Model Risk Manager information

See Indiana salary details

$49K

$106.2K

$161.8K

How much do model risk manager jobs pay per year?

As of May 28, 2026, the average yearly pay for model risk manager in Indiana is $106,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $122,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the most commonly searched types of Model Risk jobs in Indiana? The most popular types of Model Risk jobs in Indiana are:
What are popular job titles related to Model Risk Manager jobs in Indiana? For Model Risk Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Indiana look for? The top searched job categories for Model Risk Manager jobs in Indiana are:
What cities in Indiana are hiring for Model Risk Manager jobs? Cities in Indiana with the most Model Risk Manager job openings:
Senior Model Risk Analyst

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

FHLBank Indianapolis Job Opportunity

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!

Senior Model Risk Analyst

The Senior Model Risk Analyst will play a key role in assessing the Bank's model risk through model validations, risk reviews, and ongoing analysis. As a member of Enterprise Risk Management (ERM), the Analyst will work under the Senior Manager, Model Risk or Director of Model Risk Management and Validation to validate financial models throughout the Bank in order to assess model reasonableness, weaknesses, and risks. The Analyst will interact with model owners and model users across the Bank to understand current model performance, development activities, and emerging risks.

The following statements are intended to describe the general nature and level of work being performed by persons assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required of persons so classified. The Bank reserves the right to alter or amend this description at any time.

Specific Responsibilities:

  • Participate in model validations for various types of financial models, including credit risk, interest rate derivative valuation, mortgage prepayment/default, and asset-liability management models. This will include performing quantitative analyses and tests, assessing model theory, backtesting, benchmarking, stress testing, scenario analysis, and assessing the effectiveness and sufficiency of model controls and documentation.
  • Generate validation reports or memos detailing the validation approach, analyses conducted, and the conclusion of the validation. Present findings and recommendations to model owners/users.
  • Review model changes, assess model change significance, and conduct limited-scope validations for model changes as necessary.
  • Participate in the development of benchmarking models and data analytical tools, including machine learning models for validation and model performance monitoring purposes.
  • Provide independent opinions on various modeling and model validation issues.
  • Assist in third-party model validation.
  • Participate in audit and regulatory exams and assist in the remediation of audit and regulatory exam findings.
  • Perform annual and ad-hoc model reviews and quarterly model performance reviews.
  • Assist in other model risk management activities, such as maintaining the Bank's model inventory, tracking outstanding model validation findings, and generating periodic model risk related reports to relevant committees and stakeholders.
  • Conduct research and analysis to maintain knowledge of modeling best practices, model validation techniques, and current financial market information.

Competencies:

  • Business: Project Management
  • General: Dependability, Productivity
  • People: Accountability and Drive for Results, Collaboration and Communication

Position Requirements:

  • Advanced degree with a concentration in Computational/Quantitative Finance, Statistics, Mathematics, Computer Science, Economics, or some other quantitative discipline. Ph.D. desirable.
  • At least one year of experience working in a related field, such as model risk management, predictive modeling, financial modeling, optimization, and data science, is required.
  • Understanding of financial market concepts and fixed-income instruments, including mortgages and MBS, interest rate derivatives, fixed-income analytics and risk metrics, prepayment forecasts, interest rate modeling, probability of default and credit loss modeling, and stress testing.
  • Understanding of stochastic processes, time series analysis, principal component analysis, optimization, logistic regression, and Monte Carlo simulation.
  • Proficiency with at least one of the programming languages, such as Python, R, Julia, or MATLAB, is required. Python is the preferred programming language.
  • Hands-on experience with machine learning/artificial intelligence models is highly desirable.
  • Hands-on experience with valuation tools/libraries, such as PolyPaths, QRM, Calypso, Yieldbook, FINCAD, and Numerix, is desirable.
  • Must have a high level of proficiency with Microsoft Office applications (Excel, Word, PowerPoint, Outlook). Experience with Power BI is highly desirable.
  • Strong written and oral communication skills required. Ability to write clear technical reports and memos. Must be able to communicate and maintain relationships with model owners/users and other stakeholders, and interact effectively with management.
  • Must be able to think critically and independently, highly self-motivated, and able to multitask and manage competing priorities.
  • Understanding of current regulatory guidance on model risk management, including FHFA's AB 2013-07 and AB 2022-03, OCC Bulletin 2011-12, or FRB SR 11-17, desirable.
  • Ability to model and uphold the Bank's Guiding Principles.
  • Ability to work full-time.

Hiring Range: $93,000 - $110,000

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.