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Internship Model Validation Jobs (NOW HIRING)

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Internship Model Validation information

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How much do internship model validation jobs pay per hour?

As of Aug 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 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.

What is the difference between Internship Model Validation vs Data Analyst?

AspectInternship Model ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldsBachelor's degree in statistics, mathematics, or related field; certifications optional
Work EnvironmentInternship setting within financial institutions or banks, supervised by senior staffOffice-based, analyzing data sets, creating reports, often in various industries
Employer & Industry UsageUsed in banking, finance, and risk management for model validation tasksUsed 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 cities are hiring for Internship Model Validation jobs?

Cities with the most Internship Model Validation job openings:

What are the most commonly searched types of Model Validation jobs?

The most popular types of Model Validation jobs are:

What states have the most Internship Model Validation jobs?

States with the most job openings for Internship Model Validation jobs include:

Infographic showing various Internship Model Validation job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Quantitative Equity and Funds Research Team Lead

London Stock Exchange Group

New York, NY

$208K - $346K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

We are seeking an exceptional researcher for dual responsibilities to lead our quantitative equity and funds research programs. This is a team leads role reporting into the Head of Analytics Research.

This individual will be responsible for taking ownership of the StarMine suite of equity models, modernizing the existing model estate, building the next generation of equity models along the model development lifecycle, leading equity thought leadership and outreach to clients and prospects, engaging with model risk management and model validation, establishing protocols for the research component of production support, and recruiting and leading a direct report in New York City and the Bucharest based Machine Learning / Econometric support team as well as collaborating with proposition, product, and engineering.

In addition, this individual will lead our global funds fundamental and methodology research team for Lipper and should possess extensive knowledge around mutual funds, closed-end funds (CEFs), exchange-traded funds (ETFs), hedge funds, domestic retirement funds, pension funds, and insurance products. This individual will set the publication agenda, oversee creation of thought leadership content, and oversee the creation and refinement of research methodologies including fund rankings and classifications.

Key Responsibilities

  • Take ownership of existing suite of equity models and performance monitoring which includes learning and understanding data, model specification, production implementation, coordination with model validation and model risk management, and compute needs.
  • Conduct innovative research and construct next generation of equity / alpha models.
  • Set team vision and direct priorities.
  • Take responsibility for the Model Development Lifecycle including coordination with key contributors from other functions.
  • Lead outreach geared toward client satisfaction, converting prospects to customers, and expanding the brand footprint.
  • Thorough understanding of the mutual funds business, including portfolio construction, pooled investment analytics, performance, fund flows and expenses, distribution channels, and major trends.
  • Familiarity with Lipper classifications and industry applications, such as Lipper for Investment Management, Global Fund Flows, and LSEG Workspace.
  • Coordinate and collaborate with stakeholders within the broader researcher team as well as across the organization including proposition, product, and engineering, sales, marketing, model risk, and model validation.

Candidate Profile / Key Skills

  • 10-15 years' experience in a similar role demonstrating prior equity modelling building and significant equity markets subject matter expertise.
  • Prior exposure and experience with StarMine models is desired.
  • Prior experience leading an equity research team is required.
  • Prior experience interacting with prospects and clients is required.
  • Experience with machine learning and NLP is required.
  • Strong working knowledge of Python programming language is required.
  • Proficiency in a Unix or Linux environment is required.
  • Prior Experience with Lipper is required.
  • Cloud experience with AWS and/or Azure and Spark (or variants like AWS Glue) for large-scale processing of structured and unstructured data is a required.
  • Prior experience integrating data and models into production processes is desired.
  • Needs to be self-reliant, resourceful, and eager to lead with a strong desire and ability to innovate.
  • Advanced degree in a field such as Physics, Computer Science, Engineering, Statistics, Data Science, or Mathematics preferred.

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $208,000 - $346,800.Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.