Actuarial Risk Modeling Services - Intern - Summer 2027

Posted 8 Days Ago
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3 Locations
Hybrid
29K-48K Hourly
Internship
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Supports actuarial risk modeling projects through data analysis, model development and validation, financial risk assessment, statistical analysis, and report preparation. The intern assists with applying actuarial principles across industries, implementing risk model solutions, gathering and interpreting information, and learning from experienced risk and compliance professionals while developing communication and client service skills.
Summary Generated by Built In
The Opportunity
As an RMS - Intern, you will immerse yourself in the dynamic world of Risk and Compliance, specifically within our Actuarial Services. You will engage in projects that provide insights and analysis to help businesses manage risk, optimize financial performance, and make informed decisions, driving financial stability and growth. As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC's practices. You will perform basic tasks and conduct research while observing professional work environments, contributing to the team's success.
Within our Assurance practice, you will have the chance to develop your skills in a supportive environment, where you can apply a learning mindset and take ownership of your development. You will appreciate diverse perspectives and adopt habits to sustain performance and develop your potential. In this role, you will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This opportunity is a stepping stone to establishing your personal brand and paving the way for future opportunities.
Responsibilities
- Supporting teams in developing and validating risk models to manage financial and operational risks
- Participating in projects that involve complex data analysis to extract meaningful insights
- Assisting in the application of actuarial science to assess risk in various industries
- Engaging in financial risk analysis to evaluate uncertainties in financial decisions
- Contributing to the preparation and presentation of financial reports for decision-making
- Collaborating with team members to implement risk model solutions effectively
- Observing and learning from experienced professionals in the field of risk and compliance
- Applying statistical analysis software to interpret and present data findings
- Gathering information from diverse sources to analyze facts and discern patterns
- Taking initiative to ask questions and seek feedback for continuous learning and development
What You Must Have
- Currently pursuing or have completed a Bachelor's degree in one of the following fields of study: Actuarial Science, Mathematics,Statistics
- At least a 3.0 overall GPA
- Before starting full-time at PwC, meet the educational requirements and demonstrate a commitment to undertaking and passing actuarial exams
- Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
What Sets You Apart
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating understanding of actuarial science principles
- Participating in risk model implementation projects
- Engaging in complex data analysis for financial insights
- Supporting financial risk management initiatives
- Applying statistical modeling techniques in actuarial services
The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Skills Required

  • Currently pursuing or completed a Bachelor's degree in Actuarial Science, Mathematics, or Statistics
  • Minimum 3.0 overall GPA
  • Meet educational requirements before starting full-time
  • Commitment to undertaking and passing actuarial exams
  • Typically in the third year of a four-year degree or fourth year of a five-year degree at application
  • 3.5 overall GPA
  • Understanding of actuarial science principles
  • Experience participating in risk model implementation projects
  • Experience with complex data analysis for financial insights
  • Experience supporting financial risk management initiatives
  • Experience applying statistical modeling techniques in actuarial services

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Parental & Family Support Parental and caregiving benefits are described as extensive, with paid leave for all parents, adoption/surrogacy support, backup child/elder care, and nursing‑parent resources. This breadth signals a family‑forward package that supports a wide range of life stages.
  • Healthcare Strength Health coverage offers multiple medical plan options with pharmacy, One Medical primary care, digital physical therapy, and mental‑health resources such as Headspace, Calm, Talkspace, and EAP. The mix of preventive, primary, and specialty programs suggests strong overall coverage.
  • Retirement Support Retirement programs include a firm‑funded Wealth Builder plan alongside a 401(k) with company matching, plus financial coaching and a student‑loan paydown program. This dual‑vehicle approach provides baseline employer funding with additional savings support.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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