Full-Stack Product Manager, Citi

Citi

Location:
Canada, Mississauga

Category:
Finance

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Risk & Analytics Products (RAP) is a full-stack product team focusing on developing platforms for Risk and analytical applications. We use mathematical modeling and the latest technologies to build loss forecasting, stress testing pipelines, and other Risk applications for the firm. Our systems are responsible for calculating risk on some of the largest portfolios in Citi. You will work alongside experienced colleagues to further develop your analytical, quantitative, and technical skills. You will build skills in building products end-to-end from the ground up to solve real life problems and develop a career as a full-stack product expert.

Job Responsibility:

Engage and interview clients for user research and establish user stories through product discovery process to define product strategy and roadmap
Develop a deep understanding of clients’ needs, both from a business and data perspective, and translate them into product features as their advocate
Own and deliver the product roadmap from developing wireframes to testing and rolling-out new features
Track the progress of the team’s delivery cycles, prioritize features, and manage backlogs through an agile process
Collaborate with designers, developers, and quants and provide insights to align each process to the overall product vision
Become a subject matter expert in your area to provide a positive onboarding experience for the clients and resolve any post-rollout issues
Design, implement, and track success metrics for product outcomes.

Requirements:

Bachelors or Masters in a quantitative discipline like financial engineering, economics, mathematics, statistics, etc., or equivalent experience
Experience working as a Product Manager, Product Owner, or other Product-focused roles
Basic proficiency in Python, SQL and Linux
Strong grasp in product management fundamentals
Strong grasp in LLMs, Prompt Engineering, and Agentic workflows
Familiarity in data analysis and quantitative methods such as regression, machine learning, EDA
Problem solving skills to deconstruct problems with a data driven approach
Interest in developing a career in finance, especially in the field of Risk Management.

Additional Information:

Job Posted:
October 14, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Full-Stack Product Manager