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Quantitative Model Validation Analyst Jobs in Kentucky

Financial Analyst

Louisville, KY · On-site

$85K - $95K/yr

... validating, and presenting financial data for internal stakeholders. • Improve the accuracy of ... modeling and the ability to support planning and decision-making through quantitative analysis. • ...

FP&A Senior Financial Analyst

Lexington, KY · On-site

$85K - $105K/yr

Performs quantitative analysis of operational and financial data. Builds forecasts of future ... modeling. Creates and validates content for executive-level presentations and reviews. Compiles ...

FP&A Senior Financial Analyst

Lexington, KY · On-site

$72K - $90K/yr

Performs quantitative analysis of operational and financial data. Builds forecasts of future ... modeling. Creates and validates content for executive-level presentations and reviews. Compiles ...

Develop and implement predictive models, trend detection algorithms, and statistical analyses using ... related Quantitative disciplines and 1 or more years of experience in predictive analytics or ...

Sr. Compensation Analyst

Louisville, KY · On-site

$79K - $103K/yr

Strong analytical and quantitative skills (advanced Excel required; experience with modeling and data visualization preferred) * Experience with market pricing and salary survey tools * Knowledge of ...

Sr. Compensation Analyst

Louisville, KY

$79K - $103K/yr

Strong analytical and quantitative skills (advanced Excel required; experience with modeling and data visualization preferred) * Experience with market pricing and salary survey tools * Knowledge of ...

Sr. Compensation Analyst

Louisville, KY · On-site

$79K - $103K/yr

Strong analytical and quantitative skills (advanced Excel required; experience with modeling and data visualization preferred) * Experience with market pricing and salary survey tools * Knowledge of ...

Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

$115K - $145K/yr

Casework has both quantitative and qualitative elements, involving key responsibilities such as: * Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

$115K - $145K/yr

Casework has both quantitative and qualitative elements, involving key responsibilities such as: * Developing financial and economic models; * Analyzing large datasets; * Examining market and ...

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Showing results 1-20

Quantitative Model Validation Analyst information

See Kentucky salary details

$49.1K

$116.3K

$208.4K

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

As of Jul 31, 2026, the average yearly pay for quantitative model validation analyst in Kentucky is $116,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $126,400.00 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 Kentucky? For Quantitative Model Validation Analyst jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Quantitative Model Validation Analyst jobs in Kentucky look for? The top searched job categories for Quantitative Model Validation Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Quantitative Model Validation Analyst jobs? Cities in Kentucky with the most Quantitative Model Validation Analyst job openings:

Director of Energy Systems Modeling EPIC

University of Kentucky

Lexington, KY • On-site

Full-time

Posted 14 days ago


University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

306th of 614 rated colleges and universities


Job description

Posting Details
Job Title Director of Energy Systems Modeling EPIC Requisition Number RE55137 Working Title Department Name 40550:Ctr For Applied Energy Res Work Location Lexington, KY Grade Level 00 Salary Range Type of Position Staff Position Time Status Full-Time Required Education
BA
Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience
7 yrs
Required License/Registration/Certification
None
Physical Requirements
Sitting long periods of time. Lifting objects up to 10 lbs.
Shift
8am-5pm, M-F, located in Lexington, Kentucky.
Periodic travel throughout the Commonwealth and occasional out-of-state travel for meetings and conferences is required.
Job Summary
The Director of Energy Systems Modeling serves as EPIC's senior technical leader responsible for the quantitative analysis and modeling infrastructure supporting the Kentucky Electricity Adequacy Plan (KEAP) and EPIC's broader statutory mission.
This position is responsible for developing, maintaining, and operating the analytical models EPIC relies upon to assess Kentucky's current and future electricity needs, evaluate generation and transmission adequacy, and analyze emerging large-load developments. The role is technical and internal in nature; it does not include legislative, media, or stakeholder-facing responsibilities.
A central responsibility of this role is building and running the models supporting the Kentucky Electricity Adequacy Plan (KEAP) and providing technical modeling support to EPIC's three standing technical committees: the Demand Forecasting Committee, the Primary Energy Supply Committee, and the Transmission Infrastructure Committee.
The Director of Energy Systems Modeling reports to the Executive Director of EPIC. The Director works closely with EPIC's Director of Regulatory and Economic Analysis, Director of Strategic Initiatives, and administrative staff. External coordination includes data exchange and model validation activities with Kentucky electric utilities, the Kentucky Public Service Commission, PJM, MISO, TVA, the U.S. Department of Energy, national laboratories, university researchers, and energy consultants. Legislative, media, and senior stakeholder engagement responsibilities are carried out by the Executive Director and other designated EPIC staff.
The Director works in close coordination with and under the direction of the Executive Director, who sets analytical priorities and maintains final authority over EPIC's work products and public positions.
The ideal candidate possesses a strong knowledge of electric power systems, including generation, transmission, distribution, and grid operations, as well as resource adequacy concepts, reserve margin standards, and reliability metrics applicable to electric power systems. They demonstrate proficiency with one or more energy modeling platforms, such as PLEXOS, Aurora, or comparable production cost and capacity expansion tools, and have strong quantitative data analysis skills using Python, R, SQL, or similar technologies. Familiarity with GIS platforms for spatial analysis of energy infrastructure and load data is also essential.
The candidate is able to manage complex data systems while maintaining transparent and well-documented analytical processes, and can synthesize large, complex datasets into clear, concise written products for both technical and non-technical audiences. Additionally, they possess strong project management skills, with the ability to oversee multiple concurrent analytical workstreams and consistently meet deadlines.
Skills / Knowledge / Abilities
  • Advanced degree in electrical engineering, energy systems, economics, public policy, or a related field.
  • Professional experience with production cost modeling platforms, capacity expansion modeling, integrated resource planning (IRPs), or transmission planning studies.
  • Experience modeling data center and other large-load growth scenarios on the electric system.
  • Familiarity with PJM, MISO, TVA, and regional reliability and resource adequacy frameworks.
  • Strong understanding of Kentucky's utility landscape and regulatory framework.
  • Experience working with energy modeling teams to support regulatory or legislative presentations.

Does this position have supervisory responsibilities? No Preferred Education/Experience
  • Significant professional experience in electric utility system modeling, resource adequacy analysis, demand forecasting, production cost modeling, or capacity expansion planning.
  • Demonstrated experience working with electric utilities, regional transmission organizations, public utility commissions, energy consultants, or related organizations.
  • Strong quantitative, analytical, and written communication skills, including proficiency with energy modeling software and large data sets.
  • Ability to communicate complex technical and modeling concepts to both technical and non-technical audiences.

Driver's License Preferred
Deadline to Apply 08/15/2026 Our University Community
We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

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About University of Kentucky

Sourced by ZipRecruiter

The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Lexington, KY, US

Year founded

1865