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Open nowPosted 104 days ago

Product Manager, Retail Banking

zaglobal/24601217 open roles

Where
Hong Kong (China), Hong Kong Island, Hong Kong, China
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Your applicationOpen nowProduct Manager, Retail Bankingzaglobal/246012 · Hong Kong (China), Hong Kong Island, Hong Kong, China

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on zaglobal/246012's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 104 days ago

The posting

  • Independently drive the planning and iteration of retail products (covering Deposits, Payments, Foreign Exchange, Cross-border services, etc.), managing the full lifecycle from requirement discovery to launch and go-live.
  • Deeply understand user needs and business objectives; produce high-quality product proposals, PRDs, and prototypes; facilitate efficient collaboration across Design, Development, QA, and Operations teams.
  • Adopt a data-driven decision-making approach—continuously monitor core product metrics, and leverage A/B testing, user research, and other methods to optimise product experience and business outcomes.
  • Work closely with internal support functions including Compliance, Risk Management, and Finance to drive product innovation and rapid delivery within the regulatory framework.

• 3+ years of product management experience in Internet, Fintech, or Payment industries, with a proven track record of end-to-end delivery on C side retail product projects. • Strong learning agility—able to quickly grasp new business domains and chart clear paths amid uncertainty. • Excellent communication and cross-functional collaboration skills—capable of driving complex projects, aligning multiple stakeholders, and ensuring efficient execution. • Logical mindset with strong data sensitivity—able to validate hypotheses and drive product decisions with data. • High sense of ownership and results-orientation—proactive in problem-solving without rigid boundaries. Nice-to-Haves • Hands-on experience in AI application (e.g., AI assistants, AI-driven operational tools), and a solid understanding of AI technology’s use cases and boundaries in financial scenarios. • Familiarity with Hong Kong’s financial regulatory environment; experience in building products from 0 to 1. • Good written and spoken English, with the ability to thrive in an international, multi-cultural team environment.

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