Model Risk Management Intern [2027 Internship Program]

DTCCJersey City, NJ
$27 - $40Hybrid

About The Position

As a Model Risk Management Intern, you will gain exposure to DTCC’s enterprise-wide approach to identifying, measuring, monitoring, and managing model risk. Model Risk Management provides independent oversight of day-to-day model risk management activities and supports front-line units in managing risk related to the design, development, implementation, and use of models. You will support validation, analysis, documentation, and governance activities while building a practical understanding of model risk frameworks and standards. At DTCC, interns contribute to meaningful work while learning how the financial markets operate behind the scenes. You will be part of a structured summer experience that combines team-based project work, training, feedback, mentorship, and opportunities to connect with leaders and peers. The Summer Internship Program is a 10-week experience designed to build a strong foundation for early-career talent. The program includes orientation, training, manager engagement, feedback milestones, networking, and development experiences that help students explore potential full-time career paths, including EDGE where applicable.

Requirements

  • Currently pursuing a bachelor’s degree in Risk, Statistics, Economics, Finance, Computer Science, Business and Technology Management, MIS, or a related quantitative field.
  • Expected graduation date: Spring2028
  • Minimum GPA: 3.2
  • Authorization to work permanently in the United States without current or future sponsorship.

Nice To Haves

  • Coursework, projects, prior work, internship, student organization, volunteer, or leadership experience related to the role.
  • Interest in financial services, technology, operations, risk, data, business, or the specific business area.
  • Proficient computer and technical skills (Microsoft office suite - Excel, PowerPoint, Power BI, etc.)
  • Curiosity, initiative, and willingness to ask questions.
  • Strong communication, organization, and follow-through.
  • Analytical thinking and attention to detail.
  • Ability to use feedback and adapt as you learn.
  • Collaboration, professionalism, and accountability.

Responsibilities

  • Prepare, clean, and analyze data used in model validation testing, benchmarking exercises, and related analytical reviews.
  • Develop validation scripts, analytical tools, and process enhancements using programming languages such as Python, R, or similar tools.
  • Perform validation tests and investigate model behavior, assumptions, performance, and results to support effective model risk oversight.
  • Assist in documenting validation findings, observations, conclusions, and supporting analysis in formal reports and governance materials.
  • Participate in team meetings, knowledge-sharing sessions, research efforts, ad hoc projects, and continuous improvement initiatives within Model Risk Management.

Benefits

  • Competitive hourly compensation.
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