VP Full-Stack Product Manager

Bachelors or Masters in a quantitative discipline like financial engineering, economics, mathematics, statistics, etc., or equivalent experience
3-5 years of experience in building quantitative modelers in Loss Forecasting or Market Risk
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
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.

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 the 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

No preferred qualifications provided.