Product Manager / Product Owner (Investment & Wealth Products)

Core Responsibilities:

● Customer-Centric Design: Champion a customer-first approach, ensuring our investment products deliver intuitive, seamless, and delightful user experiences.

● Data-Driven Decision Making: Utilize data insights to inform product decisions, prioritize features, and measure success against key performance indicators.

● AI-Powered Innovation: Leverage AI and machine learning to analyze user behavior, identify trends, and uncover opportunities for product enhancement and personalization.

● Product Leadership: Define the product vision, strategy, and roadmap for your portfolio, aligning cross-functional teams and stakeholders towards a common goal.

● End-to-End Ownership: Manage the entire product lifecycle, from ideation and concept development to launch, iteration, and continuous improvement.

● Technical Collaboration: Partner effectively with engineering, design, and data science teams, translating business requirements into technical specifications and ensuring successful implementation.

Qualifications:

● 5+ years of experience as a Product Manager, Product Owner, or similar role in fintech, investment management, or a related field.

● Proven track record of delivering successful investment or wealth management products with measurable impact on customer satisfaction and business outcomes.

● Strong analytical skills with the ability to interpret complex data and derive actionable insights.

● Experience with AI/ML techniques and their application in product development.

● Exceptional communication and presentation skills, capable of influencing and inspiring stakeholders at all levels.

● Experience working in agile environments and familiarity with tools like Jira.

● Passion for fintech and a deep understanding of the investment landscape.

Preferred Qualifications:

● MBA or advanced degree in a relevant field.

● Experience in a startup or high-growth environment.

● CFA or other relevant financial certifications.

● Proficiency in SQL and data visualization tools.