Ming Zhang is a Data, Investment and Books at Suncorp Group, whose known portfolio counts 3 companies.
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Investment focus
- Stage
- Growth
Contacts
Affiliated funds' portfolios
Data, Investment and Books at Suncorp Group, whose known portfolio counts 3 companies
- Car Next Door
- Trōv
- Trov
Investor Profile
The listing covers sectors Commerce, Consumer and FinTech, and focus areas Banking, InsurTech, Marketplaces and Payments. Startups operating in these areas may find Ming Zhang relevant.
Stage-wise, the deals at Suncorp Group cluster around Growth rounds.
The firm portfolio and the focus above give founders context on whether Ming Zhang matches their raise.
Colleagues at Suncorp Group
Frequently asked questions
Who is Ming Zhang?
Ming Zhang is a corporate venture investor based in Auckland, New Zealand, listed as Data, Investment and Books at Suncorp Group. The known portfolio of that firm counts 3 companies. That portfolio belongs to the firm, not to Ming Zhang personally.
What does Ming Zhang invest in?
Listed sectors include Commerce, Consumer and FinTech; listed focus areas include Banking, InsurTech, Marketplaces and Payments. Those tags come from the portfolios of the firms this profile is attached to, so they read as a record of what has been backed rather than a stated preference for what comes next.
What stage does Ming Zhang invest at?
Suncorp Group appears in Growth rounds across its known deals, and Ming Zhang is listed there as Data, Investment and Books. Stage is the strongest single filter when you build a target list: an investor with no record at your stage rarely starts with you.
Which firm is Ming Zhang listed at?
Ming Zhang is listed as Data, Investment and Books at Suncorp Group. 3 other people in the database share a firm with Ming Zhang.
How do I contact Ming Zhang?
A LinkedIn page is on file for Ming Zhang. It is readable inside RaiseHunt after you create an account. The database holds no email address and no phone number for this profile.
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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal