Product Associate
$90,000–$90,000 year
On-siteNew York, United States
Job Summary
Prioritize the product backlog by writing, refining, and prioritizing user stories with clear acceptance criteria to support product strategy. Partner with Product Managers to define features, approve user stories, and maintain communication across stakeholders while collaborating with engineering, UX, and business teams on technical feasibility. Represent the scrum team to internal and external clients, analyze user and market data to drive insights, and track key performance metrics for continuous improvement. Showcase progress through demos and walkthroughs, attend meetings with investor clients or dealers, and assess emerging AI technologies to inform innovation roadmaps.
Required Qualifications
- 2+ years working in product, project or business analysis roles
- Strong experience writing user stories, acceptance criteria, and defining scope of work for development teams
- Demonstrable ability to work in a team environment
- Experience in Agile delivery techniques, including sprint planning, backlog management, and iterative development
- Analytical mindset with the ability to use data to drive product decisions and improve performance
- Experience in financial services sector/fixed income
- Recent experience of OMS/EMS API integration with trading venues
- Fundamental understanding of database design, including working knowledge of SQL
- Exposure to API-driven development and technical product considerations
- Understanding of AI product development principles, including model evaluation, experimentation, user adoption, data quality, and responsible AI considerations
- Experience defining, delivering, or supporting AI-enabled product capabilities, including machine learning, generative AI, predictive analytics, intelligent automation, or data-driven decision support solutions
- Experience with data-driven decision-making
- Bachelor's degree in a relevant subject
Desired Qualifications
- Familiarity with AI-assisted product development tools, data analytics platforms, or modern software delivery practices is a plus
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