About the Role:
We are looking for a seasoned Product Manager to own and drive our market data and technical analysis tools. This role is central to enhancing the core trading experience for our global user base. You will be responsible for the end-to-end product lifecycle, from需求 analysis to execution, and will play a key role in supporting both our international retail business and our growing B2B initiatives.
Key Responsibilities:
- Lead the product strategy, design, and execution for Longbridge Securities' market data and technical analysis tools, catering to a global user base across different regions.
- Analyze user needs and optimize the product experience for diverse international retail investors, directly supporting the firm's global expansion.
- Drive the initiative to productize and adapt our retail-facing (C-end) market data capabilities into scalable SaaS solutions, enabling and accelerating our B2B strategy.
- Monitor and analyze business metrics and user feedback rigorously to inform data-driven product decisions and guide continuous iteration.
- Collaborate closely with fundamental analysis, news, and community product teams to build integrated and more valuable product offerings for our users.
Qualifications & Skills:
- 5+ years of product management experience, with a proven track record of independently owning and delivering securities market data products.
- Deep understanding of the market structures, data mechanisms, and regulatory environments in key regions such as the US, Hong Kong, and Mainland China.
- Strong technical knowledge of securities data, including:
- The methodologies behind time-series and K-line chart rendering.
- The algorithmic design principles and practical applications of common technical indicators (TAs).
- Genuine passion for investing and financial markets. Must be responsible, proactive, and possess excellent communication and cross-functional collaboration skills.
- Bachelor's degree or higher, with a preference for backgrounds in Finance, Computer Science, Mathematics, or related fields.
- Broad knowledge of the financial information and fintech landscape. Strong English language skills are a significant advantage.