Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk ... Paid internship (competitive, based on experience and location)
BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... modeling) - Experience with multi-die or chiplet architectures and die-to-die interconnect ...
BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... modeling) - Experience with multi-die or chiplet architectures and die-to-die interconnect ...
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
Junior Analyst - AI Initiatives
La Jolla, CA · Hybrid
$30/hr
Model Validation and Performance Tuning: Assist in running, analyzing, and improving the ... Prior internship or project experience in finance, consulting or data analytics. * Basic ...
Junior Analyst - AI Initiatives
La Jolla, CA · Hybrid
$30/hr
Model Validation and Performance Tuning: Assist in running, analyzing, and improving the ... Prior internship or project experience in finance, consulting or data analytics. * Basic ...
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
Quick apply
Develop, own, and maintain finite element models by defining appropriate boundary conditions ... Internship experience is preferred, but not required. * Good verbal and written communication ...
If so, our internship program might be a great fit! At Frost, it's about more than a job. It ... Analyze varying financial, statistical, and behavioral models to assist model validations and ...
If so, our internship program might be a great fit! At Frost, it's about more than a job. It ... Analyze varying financial, statistical, and behavioral models to assist model validations and ...
GNC Engineer I
Vista, CA · On-site
$77K - $116K/yr
Support sensor and actuator model validation through analysis and correlation with test results ... of applicable internship, research, or professional experience developing and testing GNC ...
GNC Engineer I
Vista, CA · On-site
$77K - $116K/yr
Support sensor and actuator model validation through analysis and correlation with test results ... of applicable internship, research, or professional experience developing and testing GNC ...
Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE ... Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ...
Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE ... Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ...
Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE ... Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ...
Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE ... Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time ...
... non-internship design or architecture (design patterns, reliability and scaling) of new and ... Language Model fundamentals, including architecture, training/inference lifecycles, and ...
... non-internship design or architecture (design patterns, reliability and scaling) of new and ... Language Model fundamentals, including architecture, training/inference lifecycles, and ...
Systems Engineer Intern
Detroit, MI · On-site
$16.50 - $21.50/hr
We offer internships in fields ranging from engineering, business, finance, operations ... Exposure to systems engineering principles (requirements, V-model, validation). * Familiarity with ...
Systems Engineer Intern
Detroit, MI · On-site
$16.50 - $21.50/hr
We offer internships in fields ranging from engineering, business, finance, operations ... Exposure to systems engineering principles (requirements, V-model, validation). * Familiarity with ...
Knowledge in SERDES modeling techniques Working experience with Python. Expected Base Pay Range ... every stage - from internship to retirement and through life's most important moments. Our ...
Knowledge in SERDES modeling techniques Working experience with Python. Expected Base Pay Range ... every stage - from internship to retirement and through life's most important moments. Our ...
Knowledge in SERDES modeling techniques Working experience with Python. Expected Base Pay Range ... every stage - from internship to retirement and through life's most important moments. Our ...
Knowledge in SERDES modeling techniques Working experience with Python. Expected Base Pay Range ... every stage - from internship to retirement and through life's most important moments. Our ...
Engineer - Container Closure Integrity Design, Testing & Equipment Validation (JP14727)
Thousand Oaks, CA · Hybrid
$36 - $41/hr
Solid modeling (SolidWorks - preferred) * Technical Writing * Working in a team Day to Day ... No work experience (internship okay) Interview process: Initial phone call Panel interview (2-3 ...
Engineer - Container Closure Integrity Design, Testing & Equipment Validation (JP14727)
Thousand Oaks, CA · Hybrid
$36 - $41/hr
Solid modeling (SolidWorks - preferred) * Technical Writing * Working in a team Day to Day ... No work experience (internship okay) Interview process: Initial phone call Panel interview (2-3 ...
Senior Spacecraft Analysis Engineer
Seattle, WA · On-site
$115K - $145K/yr
Hands-on experience applying analysis to real-world hardware or aerospace systems (internship ... Experience with test correlation, validating models against hardware or experimental data
Senior Spacecraft Analysis Engineer
Seattle, WA · On-site
$115K - $145K/yr
Hands-on experience applying analysis to real-world hardware or aerospace systems (internship ... Experience with test correlation, validating models against hardware or experimental data
Key Responsibilities This intensive, short-term internship offers a unique opportunity for aspiring ... validation datasets. • Assist in designing and tweaking model architectures. • Implement ...
Quick apply
Key Responsibilities This intensive, short-term internship offers a unique opportunity for aspiring ... validation datasets. • Assist in designing and tweaking model architectures. • Implement ...
... internship experience is acceptable). Solid understanding of measurement concepts and engineering ... modeling, manufacturing experience, IQ, OQ, and PQ. Teamworking and communication skills is ...
... internship experience is acceptable). Solid understanding of measurement concepts and engineering ... modeling, manufacturing experience, IQ, OQ, and PQ. Teamworking and communication skills is ...
Internship Model Validation information
See salary details
$22.60 - $27.64
2% of jobs
$27.64 - $32.69
6% of jobs
$32.69 - $37.74
13% of jobs
$39.32 is the 25th percentile. Wages below this are outliers.
$37.74 - $42.79
13% of jobs
$42.79 - $47.84
11% of jobs
The median wage is $50.36 / hr.
$47.84 - $52.88
12% of jobs
$52.88 - $57.93
9% of jobs
$61.82 is the 75th percentile. Wages above this are outliers.
$57.93 - $62.98
13% of jobs
$62.98 - $68.03
13% of jobs
$68.03 - $73.08
6% of jobs
$73.08 - $78.13
3% of jobs
$22
$51
$78
How much do internship model validation jobs pay per hour?
As of Jun 21, 2026, the average hourly pay for internship model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.
What is an Internship in Model Validation?
An Internship in Model Validation is a temporary position, usually for students or recent graduates, where you assist in reviewing and testing financial or statistical models used by organizations. Interns help ensure these models are accurate, reliable, and compliant with regulations. Tasks often include analyzing data, running simulations, and documenting findings under the supervision of experienced model validators. It's an excellent way to gain hands-on experience in quantitative finance, risk management, or data science. These internships are valuable for building technical and analytical skills relevant to careers in finance, banking, or consulting.
What is the difference between Internship Model Validation vs Data Analyst?
| Aspect | Internship Model Validation | Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in finance, economics, or related fields | Bachelor's degree in statistics, mathematics, or related field; certifications optional |
| Work Environment | Internship setting within financial institutions or banks, supervised by senior staff | Office-based, analyzing data sets, creating reports, often in various industries |
| Employer & Industry Usage | Used in banking, finance, and risk management for model validation tasks | Used across industries for data analysis, reporting, and decision support |
Internship Model Validation focuses on assessing the accuracy and compliance of financial models during an internship, often within banking or finance sectors. Data Analysts perform broader data interpretation and reporting tasks across industries. While both roles involve data skills, Model Validation internships emphasize financial model testing, whereas Data Analysts handle diverse data analysis functions.
What types of projects or tasks can I expect to work on during an Internship in Model Validation?
As an intern in model validation, you will typically assist in evaluating and testing financial or statistical models to ensure their accuracy and compliance with regulatory standards. Your daily tasks may include reviewing model documentation, running validation tests, analyzing model outputs, and preparing reports for senior analysts. You'll often collaborate with model developers, risk managers, and other stakeholders to discuss findings and suggest improvements. This hands-on experience provides valuable exposure to quantitative methods, regulatory frameworks, and cross-functional teamwork within the financial industry.
What are the key skills and qualifications needed to thrive as an Internship Model Validation, and why are they important?
To thrive in a Model Validation Internship, you need a solid foundation in quantitative disciplines such as mathematics, statistics, finance, or computer science, often supported by progress toward a relevant degree. Familiarity with statistical software or programming languages like Python, R, or MATLAB, and knowledge of financial modeling systems, is highly valuable. Strong analytical thinking, attention to detail, and clear communication skills set standout candidates apart. These skills and qualities are crucial for accurately assessing model performance, ensuring compliance, and effectively presenting findings to technical and non-technical stakeholders.
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Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics
Risk Analytics CompanyCambridge, MA • On-site
Full-time
Posted 14 days ago
Job description
Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)
Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
- Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
- Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
- Design and implement analytical tools and pipelines using Python and SQL
- Contribute to model validation, backtesting, and performance evaluation
- Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure
- Communicate complex quantitative insights through clear visualizations and technical summaries
- Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics
Required Qualifications
- Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)
- Strong foundation in probability, statistics, and numerical methods
- Proficiency in Python (NumPy, pandas, or similar) and/or SQL
- Experience working with large datasets and implementing quantitative models
- Ability to think rigorously about complex systems and translate theory into practical solutions
Preferred Qualifications
- Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)
- Experience with scientific computing, optimization, or machine learning
- Background or research in cross-disciplinary areas such as:
- Statistical physics, complex systems, or network theory
- Applied or computational mathematics
- Machine learning or probabilistic modeling
- Quantum computing or advanced optimization techniques
- Topological data analysis or geometric data methods
- Prior research, publications, or project work demonstrating advanced quantitative modeling
What You’ll Gain
- Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics
- Opportunity to apply cutting-edge academic methods in a production environment
- Collaboration with a highly quantitative, cross-disciplinary team
- Experience working with large-scale financial data and modern analytics infrastructure
- Mentorship and potential pathway to full-time quantitative roles
Duration & Compensation
- Internship: Summer 2026, with potential to extend
- Paid internship (competitive, based on experience and location)