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Model Risk Intern Jobs in Pittsburgh, PA (NOW HIRING)

Senior Water Resources EIT 1

Homestead, PA · On-site

$91K - $124K/yr

Applies principles of probability and statistics to determine risk relevant to engineering. Minimum ... intern (EI) certification. Technical Responsibilities * Performs moderate design tasks. * Prepares ...

Senior Water Resources EIT 1

Homestead, PA · On-site

$91K - $124K/yr

Applies principles of probability and statistics to determine risk relevant to engineering. Minimum ... intern (EI) certification. Technical Responsibilities * Performs moderate design tasks. * Prepares ...

Senior Water Resources EIT 1

Canonsburg, PA · On-site

$92K - $125K/yr

Applies principles of probability and statistics to determine risk relevant to engineering. Minimum ... intern (EI) certification. Technical Responsibilities * Performs moderate design tasks. * Prepares ...

Showing results 21-40

Model Risk Intern information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do model risk intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for model risk intern in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a model risk intern?

Model Risk Interns are students or early-career professionals who support the model risk management teams within financial institutions or other organizations that rely on quantitative models. Their responsibilities typically include assisting with model validation, documentation, testing, and analysis to ensure models are accurate and compliant with regulatory requirements. They work under the supervision of experienced model risk analysts, gaining hands-on experience in risk assessment, data analysis, and regulatory compliance. This role is ideal for individuals pursuing degrees in mathematics, statistics, finance, or related fields.

What types of projects does a model risk intern typically work on, and how do these projects support the overall risk management function?

As a Model Risk Intern, you will often assist with validating financial and statistical models used across various business functions, such as credit risk, market risk, and operational risk. Your projects may include reviewing model documentation, performing sensitivity analysis, and preparing validation reports. These tasks help ensure the accuracy and reliability of models that inform critical business decisions, directly supporting risk management and regulatory compliance. Additionally, you’ll collaborate closely with quantitative analysts, model developers, and risk managers, gaining valuable exposure to cross-functional teamwork in a fast-paced financial environment.

What are the key skills and qualifications needed to thrive as a model risk intern, and why are they important?

To thrive as a Model Risk Intern, a strong background in quantitative analysis, statistics, and finance—often supported by coursework in mathematics, economics, or related fields—is essential. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of regulatory guidelines such as SR 11-7 are typically required. Analytical thinking, attention to detail, and clear communication are vital soft skills for explaining complex models and collaborating with stakeholders. These skills ensure accurate model validation, effective risk assessment, and compliance with regulatory standards in financial institutions.

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

AspectModel Risk InternQuantitative Analyst Intern
Required CredentialsTypically pursuing or holding a degree in finance, mathematics, or related fieldsSimilar educational background, often with additional focus on finance or economics
Work EnvironmentRisk management teams within banks, asset managers, or financial institutionsQuantitative research teams in investment firms, banks, or hedge funds
Employer & Industry UsageCommon in risk management departments across financial servicesPrevalent in trading, investment, and financial analysis roles

The Model Risk Intern focuses on identifying, assessing, and mitigating risks associated with financial models, ensuring their accuracy and compliance. In contrast, the Quantitative Analyst Intern typically develops and applies mathematical models for trading, investment strategies, or financial analysis. Both roles require strong quantitative skills and often overlap in educational background, but they serve different functions within financial organizations.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Pittsburgh, PA • On-site

$40/hr

Other

Retirement

Posted 9 days ago


Key responsibilities

  • Support the development, deployment, and monitoring of machine learning models.

  • Implement tooling and features to support machine learning model development and deployment.

  • Assist in building and deploying AI Agents to automate data processing and analysis tasks.


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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