Lendify Employee Directory

Q: What does Lendify do?

Explore Lendify's company overview page . for more information.

SE - Stockholm - Stockholm County

About Lendify

lendify is a bank challenger that is efficient, digital and fair. lendify caters to swedish households with high credit ratings who often already have loans from one of the tradition... Read more

Lendify Highlights:

Location	Employees
Sweden 🇸🇪	18

Lendify Leadership:

Employee	Department	Total Email Source
Nicholas Sunden-Cullberg ceo	Executive	4	Email
Jose Cartro founder cto	Executive	0	Email
Nicholas Sunden-Cullberg ceo	Executive	0	Email
Nicholas Nicholas SundéN-Cullberg chief executive officer	Executive	0	Email
John-Christian Eriksson ceo	Executive	0	Email
John-Christian Eriksson founder	Executive	0	Email

Contact profiles Lendify:

Employee	Department	Total Email Source
Erik Wikander cmo		3	Email
Verner Hedenblad marketing manager	Marketing	1	Email
Jose Cartro cto		0	Email
Hugo Korsell business analyst	Sales	0	Email
Hannah Bolin		0	Email
Nick Song		0	Email
Josefine Almegran marketing manager	Marketing	0	Email
Therese Svensson		0	Email
Karin Ek vd-assistent		0	Email
Maria Usova		0	Email
Abdallah Sweed senior accountant	Finance	0	Email
Peter Peter		0	Email
Jonatan Lindroth		0	Email
Victor BjöRklund		0	Email
Kasper Ernerot communication manager	Communication	0	Email
Malin Malin öStman legal and compliance manager	Management	0	Email
Maria Spolander credit process manager		0	Email
Fredrik Pettersson kravansvarig		0	Email
Robin Brandt developer	Management	0	Email
Erika Eliasson deputy chief executive officer	Management	0	Email
Erik Wikander chief product officer		0	Email
Erik Wikander chief product officer		0	Email
Magnus Linnersand group chief financial officer		0	Email
Alexander Stahl system developer		0	Email
Fredrik Holmberg		0	Email
Alexander Stahl system developer		0	Email

Lendify Email Metrics

Lendify has 38 email addresses.

Lendify has 32 personal email addresses, .

Lendify has 6 generic email addresses.

Email Finder

The Email Finder can find an email address with a good level of certainty. It either returns one we have in our base, or predicts one by analyzing the domain data.