Risk Analyst Intern – January 2027 – 8 Months – 5290 Orbitor Dr, Mississauga, ON, L4W 4Z5

Nissan Motor Corporation
Mississauga, Ontario, CanadaPosted Sep 8, 2026
Finance / Investment Banking

About the role

Location: 5290 Orbitor Dr, Mississauga, ON, L4W 4Z5 Job Schedule: Hybrid; 4-days in-office (Monday-Thursday) Internship Length: 4 Months Come Drive Innovation with Us. We are currently looking for Risk Analyst Intern to join our team in Mississauga. At Nissan, we’re not just building cars, we’re revolutionizing mobility. We’re a global leader with a heritage of innovation, and we’re searching for talented individuals like you to join us on this exciting journey. We believe that every individual possesses a unique set of skills and passions that can be harnessed to drive innovation and shape the future of the automotive industry. Our diverse range of program areas and career paths offer exciting opportunities for adventurers like you to embark on a thrilling professional journey.

A Day in the Life

Contribute to departmental projects and initiatives, including in the preparation and execution of related test cases Collaborate with other Nissan Canada Finance (NCF) departments in analyzing current credit adjudication process flow and system behavior, identifying control gaps and proposing changes to reduce risk exposure Provide support with preparation of monthly reports and presentations, identifying and diagnosing drivers of unexpected changes to portfolio composition and performance Presentation of findings and recommendations to Management Team

Who We’re Looking for

Eligible candidates must be currently enrolled in an accredited University undergraduate program with a focus in Business Administration, Finance, or other analytical related fields. Curious mindset with ability to learn new concepts quickly, identify challenges and clearly articulate issues to others Critical thinking with excellent analytical, problem-solving and research skills Highly organized with exceptional time-management skills Excellent communication and presentation skills with an aptitude for cross-functional teamwork and collaboration Experienced working with large data sets in MS Exce

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