Fintech Investors

Find Fintech investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for Fintech-focused venture capitalists, angels, and institutional investors at every stage.

33,796 investors
SO
Guangzhou, China VC Firm
Fintech
KI
VC Firm
Fintech
HF
Shanghai, China VC Firm
Fintech
TC
Piedmont, US Accelerator
Fintech
NX
Brussels, Belgium Private Equity
Series A Fintech
KI
Lubbock, US Accelerator
Fintech
IX
Chicago, US VC Firm
Fintech
PI
Cambridge, US Accelerator
Series A Seed Fintech
TR
Haidian, China VC Firm
Fintech
GC
Beijing, China Private Equity
Growth Fintech
CH
New York, US VC Firm
Fintech HealthTech
OM
Dallas, US Micro VC
Seed Fintech
CF
Beijing, China Private Equity
Fintech
HF
Hellerup, Denmark VC Firm
Fintech
KG
Zürich, Switzerland VC Firm
Fintech
AC
VC Firm
Fintech
WG
Makati, Philippines VC Firm
Seed Fintech
PI
Luxembourg, Luxembourg VC Firm
Fintech
IC
VC Firm
Fintech
KV
New York, US VC Firm
Seed Fintech
SI
Accra, Ghana VC Firm
Series A Seed Fintech
NB
Wallsend, UK VC Firm
Pre-Seed Fintech
SG
Shanghai, China VC Firm
Fintech PropTech
BA
Basel, Switzerland Private Equity
Fintech
SI
Shenyang, China VC Firm
Fintech

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of Fintech investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The Fintech space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 Fintech investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the Fintech sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.