World’s Top 100 Digital Banks Ranking 2023
Over the last decade since the start of the fintech boom, the financial services sector has seen the rise of more than a hundred stand-alone digital banks globally. They have transformed the way digitally inclined consumers save, borrow, transact and invest.
To track this increasing array of mobile based virtual contenders, TABInsights has launched the world’s first comprehensive assessment of global digital banks that ranks them according to a balanced scorecard derived from an objective and transparent set of evaluation criteria. The scorecard assessment covers capabilities mapped across five key dimensions: customer, market/product coverage, profitability, asset and deposit growth and funding. Scale and size are not the main determinant, and are balanced with profitability, operational efficiencies, the ability to raise funds and the way these digital banks grow a healthy loan book and balance sheet. The global top 100 digital bank ranking covers digital banks from 36 countries across all major world regions.
| Rank | Digital-Only Bank | Country | Launched | Customer | Coverage | Financials | Balance Sheet | Funding | Final score | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # of users | Growth /month | Users /staff | Total Score | # of markets | # of products | Total Score | ROE | Gross revenue | Revenue growth | Revenue/ user | CIR | Total Score | Assets | Deposits | LDR | Total Score | Funding | Total Score | |||||
| Score | Score | Score | 30% | Score | Score | 10% | Score | Score | Score | Score | Score | 30% | Score | Score | Score | 20% | Score | 10% | |||||
| 10 | 10 | 10 | 30.0 | 10 | 10 | 10.0 | 10 | 10 | 10 | 10 | 10 | 30.0 | 10 | 10 | 10 | 20.0 | 10 | 10.0 | 100.0 | ||||
| 1 | WeBank | China | 2015 | 10 | 10 | 7 | 27.0 | 1 | 9 | 5.0 | 8 | 5 | 2 | 1 | 8 | 14.4 | 9 | 6 | 10 | 16.7 | 2 | 2.0 | 65.1 |
| 2 | ING (Global) | Netherland | 1991 | 7 | 0 | 1 | 8.0 | 10 | 9 | 9.5 | 6 | 7 | 1 | 8 | 3 | 15.0 | 10 | 10 | 9 | 19.3 | 9 | 9.0 | 60.8 |
| 3 | Ally Bank | US | 2009 | 4 | 4 | 1 | 9.0 | 1 | 10 | 5.5 | 7 | 6 | 1 | 10 | 6 | 18.0 | 10 | 10 | 10 | 20.0 | 8 | 8.0 | 60.5 |
| 4 | MYBank | China | 2015 | 8 | 7 | 5 | 20.0 | 1 | 3 | 2.0 | 4 | 5 | 3 | 2 | 8 | 13.2 | 9 | 5 | 10 | 16.0 | 3 | 3.0 | 54.2 |
| 5 | Klarna | Sweden | 2017 | 10 | 10 | 5 | 25.0 | 10 | 2 | 6.0 | 0 | 5 | 2 | 1 | 0 | 4.8 | 4 | 2 | 7 | 8.7 | 6 | 6.0 | 50.5 |
| 6 | Tinkoff Bank | Russia | 2007 | 5 | 7 | 3 | 15.0 | 1 | 8 | 4.5 | 10 | 5 | 2 | 5 | 9 | 18.6 | 4 | 3 | 10 | 11.3 | 1 | 1.0 | 50.4 |
| 7 | Suning Bank | China | 2017 | 8 | 8 | 7 | 23.0 | 1 | 4 | 2.5 | 5 | 4 | 1 | 1 | 10 | 12.6 | 4 | 3 | 8 | 10.0 | 2 | 2.0 | 50.1 |
| 8 | KakaoBank | South Korea | 2017 | 5 | 6 | 4 | 15.0 | 1 | 8 | 4.5 | 2 | 4 | 3 | 2 | 6 | 10.2 | 5 | 4 | 10 | 12.7 | 6 | 6.0 | 48.4 |
| 9 | ING | Germany | <2000 | 3 | 1 | 1 | 5.0 | 1 | 6 | 3.5 | 6 | 5 | 0 | 6 | 4 | 12.6 | 10 | 10 | 9 | 19.3 | 6 | 6.0 | 46.4 |
| 10 | Nubank | Brazil | 2014 | 8 | 9 | 3 | 20.0 | 3 | 6 | 4.5 | 0 | 5 | 4 | 1 | 3 | 7.8 | 4 | 3 | 2 | 6.0 | 6 | 6.0 | 44.3 |
| 11 | Rakuten Bank | Japan | 2001 | 4 | 5 | 4 | 13.0 | 3 | 10 | 6.5 | 4 | 4 | 1 | 2 | 4 | 9.0 | 10 | 8 | 4 | 14.7 | 1 | 1.0 | 44.2 |
| 12 | aiBank | China | 2017 | 10 | 9 | 6 | 25.0 | 1 | 5 | 3.0 | 1 | 3 | 3 | 1 | 7 | 9.0 | 4 | 2 | 1 | 4.7 | 2 | 2.0 | 43.7 |
| 13 | K-Bank | South Korea | 2017 | 3 | 6 | 4 | 13.0 | 1 | 9 | 5.0 | 1 | 3 | 10 | 1 | 3 | 10.8 | 4 | 3 | 9 | 10.7 | 4 | 4.0 | 43.5 |
| 14 | XW Bank | China | 2016 | 9 | 9 | 6 | 24.0 | 1 | 4 | 2.5 | 5 | 3 | 1 | 1 | 8 | 10.8 | 3 | 2 | 1 | 4.0 | 1 | 1.0 | 42.3 |
| 15 | SBI Sumishin | Japan | 2007 | 2 | 3 | 3 | 8.0 | 1 | 10 | 5.5 | 5 | 3 | 1 | 5 | 4 | 10.8 | 9 | 7 | 9 | 16.7 | 1 | 1.0 | 42.0 |
| 16 | NBKC | US | 1999 | 1 | 1 | 1 | 3.0 | 1 | 9 | 5.0 | 8 | 3 | 0 | 8 | 2 | 12.6 | 1 | 1 | 8 | 6.7 | 10 | 10.0 | 37.3 |
| 17 | Marcus | US | 2016 | 4 | 5 | 2 | 11.0 | 1 | 5 | 3.0 | 0 | 5 | 1 | 5 | 0 | 6.6 | 10 | 10 | 2 | 14.7 | 1 | 1.0 | 36.3 |
| 18 | Sony Bank | Japan | 2001 | 2 | 1 | 2 | 5.0 | 1 | 10 | 5.5 | 4 | 3 | 1 | 6 | 3 | 10.2 | 6 | 4 | 10 | 13.3 | 2 | 2.0 | 36.0 |
| 19 | Wise | UK | 2011 | 4 | 5 | 2 | 11.0 | 10 | 2 | 6.0 | 5 | 4 | 2 | 3 | 6 | 12.0 | 3 | 1 | 1 | 3.3 | 3 | 3.0 | 35.3 |
| 20 | C6 | Brazil | 2019 | 3 | 5 | 2 | 10.0 | 1 | 7 | 4.0 | 0 | 3 | 10 | 1 | 0 | 8.4 | 2 | 2 | 8 | 8.0 | 4 | 4.0 | 34.4 |
| 21 | au Jibun Bank | Japan | 2008 | 2 | 3 | 4 | 9.0 | 1 | 9 | 5.0 | 1 | 3 | 1 | 3 | 1 | 5.4 | 5 | 4 | 10 | 12.7 | 2 | 2.0 | 34.1 |
| 22 | Revolut | UK | 2015 | 5 | 5 | 3 | 13.0 | 10 | 9 | 9.5 | 0 | 3 | 2 | 1 | 0 | 3.6 | 3 | 1 | 1 | 3.3 | 4 | 4.0 | 33.4 |
| 23 | SoFi | US | 2011 | 2 | 5 | 1 | 8.0 | 2 | 10 | 6.0 | 0 | 4 | 3 | 7 | 0 | 8.4 | 3 | 1 | 1 | 3.3 | 5 | 5.0 | 30.7 |
| 24 | Air Bank | Czech Republic | 2011 | 1 | 2 | 1 | 4.0 | 2 | 8 | 5.0 | 5 | 3 | 1 | 6 | 6 | 12.6 | 3 | 2 | 7 | 8.0 | 1 | 1.0 | 30.6 |
| 25 | N26 | Germany | 2015 | 3 | 4 | 2 | 9.0 | 10 | 8 | 9.0 | 0 | 2 | 1 | 1 | 0 | 2.4 | 3 | 2 | 4 | 6.0 | 4 | 4.0 | 30.4 |
| 26 | ING | Australia | 1999 | 2 | 1 | 1 | 4.0 | 1 | 7 | 4.0 | 4 | 4 | 1 | 7 | 4 | 12.0 | 6 | 5 | 3 | 9.3 | 1 | 1.0 | 30.3 |
| 27 | UBank | Australia | 2008 | 1 | 1 | 1 | 3.0 | 1 | 6 | 3.5 | 4 | 3 | 1 | 8 | 5 | 12.6 | 4 | 3 | 8 | 10.0 | 1 | 1.0 | 30.1 |
| 28 | Chime | US | 2014 | 4 | 5 | 3 | 12.0 | 2 | 5 | 3.5 | 0 | 4 | 7 | 3 | 0 | 8.4 | 1 | 1 | 1 | 2.0 | 4 | 4.0 | 29.9 |
| 29 | Paytm P Bank | India | 2017 | 9 | 6 | 5 | 20.0 | 1 | 6 | 3.5 | 1 | 3 | 0 | 1 | 0 | 3.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 29.5 |
| 30 | imaginBank | Spain | 2016 | 2 | 4 | 6 | 12.0 | 1 | 5 | 3.0 | 6 | 1 | 1 | 1 | 7 | 9.6 | 1 | 1 | 3 | 3.3 | 1 | 1.0 | 28.9 |
| 31 | Tangerine | Canada | 2012 | 2 | 1 | 1 | 4.0 | 1 | 6 | 3.5 | 4 | 3 | 1 | 6 | 3 | 10.2 | 6 | 5 | 3 | 9.3 | 1 | 1.0 | 28.0 |
| 32 | PayPay Bank | Japan | 2018 | 3 | 3 | 4 | 10.0 | 1 | 6 | 3.5 | 3 | 3 | 1 | 2 | 2 | 6.6 | 4 | 3 | 3 | 6.7 | 1 | 1.0 | 27.8 |
| 33 | OakNorth | UK | 2015 | 1 | 0 | 1 | 2.0 | 1 | 5 | 3.0 | 6 | 3 | 1 | 10 | 9 | 17.4 | 2 | 2 | 1 | 3.3 | 2 | 2.0 | 27.7 |
| 34 | Seven Bank | Japan | 2001 | 2 | 2 | 2 | 6.0 | 1 | 4 | 2.5 | 5 | 4 | 0 | 8 | 3 | 12.0 | 4 | 2 | 1 | 4.7 | 2 | 2.0 | 27.2 |
| 35 | Boursorama | France | 1995 | 2 | 4 | 2 | 8.0 | 1 | 10 | 5.5 | 0 | 3 | 1 | 2 | 0 | 3.6 | 8 | 4 | 1 | 8.7 | 1 | 1.0 | 26.8 |
| 36 | knab | Netherland | 2012 | 1 | 0 | 1 | 2.0 | 1 | 10 | 5.5 | 0 | 3 | 1 | 8 | 1 | 7.8 | 4 | 3 | 7 | 9.3 | 2 | 2.0 | 26.6 |
| 37 | Hello Bank! | France | 2013 | 2 | 3 | 2 | 7.0 | 5 | 10 | 7.5 | 0 | 2 | 1 | 2 | 0 | 3.0 | 6 | 5 | 1 | 8.0 | 1 | 1.0 | 26.5 |
| 38 | Airtel P Bank | India | 2017 | 6 | 5 | 6 | 17.0 | 1 | 5 | 3.0 | 0 | 2 | 2 | 1 | 0 | 3.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 26.0 |
| 39 | Judo Bank | Australia | 2018 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 2 | 8 | 10 | 0 | 12.0 | 3 | 1 | 1 | 3.3 | 4 | 4.0 | 24.8 |
| 40 | bunq | Netherland | 2015 | 2 | 1 | 3 | 6.0 | 10 | 7 | 8.5 | 0 | 1 | 10 | 1 | 0 | 7.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 24.7 |
| 41 | Neon | Brazil | 2016 | 5 | 6 | 3 | 14.0 | 1 | 6 | 3.5 | 0 | 1 | 5 | 1 | 0 | 4.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 24.7 |
| 42 | Papara | Turkey | 2016 | 4 | 6 | 5 | 15.0 | 1 | 4 | 2.5 | 1 | 1 | 2 | 1 | 1 | 3.6 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 24.1 |
| 43 | Starling | UK | 2015 | 2 | 4 | 1 | 7.0 | 1 | 5 | 3.0 | 0 | 3 | 1 | 3 | 0 | 4.2 | 3 | 3 | 5 | 7.3 | 2 | 2.0 | 23.5 |
| 44 | LINE BK | Thailand | 2020 | 2 | 5 | 4 | 11.0 | 1 | 4 | 2.5 | 0 | 2 | 5 | 1 | 0 | 4.8 | 1 | 2 | 2 | 3.3 | 1 | 1.0 | 22.6 |
| 45 | PAObank | Hong Kong | 2020 | 1 | 1 | 1 | 3.0 | 1 | 3 | 2.0 | 0 | 1 | 10 | 3 | 0 | 8.4 | 1 | 1 | 10 | 8.0 | 1 | 1.0 | 22.4 |
| 46 | Curve | UK | 2018 | 2 | 4 | 3 | 9.0 | 10 | 4 | 7.0 | 0 | 1 | 3 | 1 | 0 | 3.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 22.0 |
| 47 | Monzo | UK | 2015 | 2 | 4 | 2 | 8.0 | 2 | 7 | 4.5 | 0 | 2 | 1 | 1 | 0 | 2.4 | 3 | 2 | 1 | 4.0 | 3 | 3.0 | 21.9 |
| 48 | Monese | UK | 2015 | 2 | 3 | 3 | 8.0 | 10 | 6 | 8.0 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 21.4 |
| 49 | TymeBank | South Africa | 2019 | 2 | 5 | 3 | 10.0 | 2 | 4 | 3.0 | 0 | 1 | 6 | 1 | 0 | 4.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 20.8 |
| 50 | Neo | UAE | 2017 | 1 | 2 | 6 | 9.0 | 1 | 7 | 4.0 | 0 | 1 | 3 | 3 | 0 | 4.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 20.2 |
| 51 | Liv. | UAE | 2017 | 1 | 1 | 4 | 6.0 | 2 | 7 | 4.5 | 1 | 1 | 2 | 2 | 5 | 6.6 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 20.1 |
| 52 | ZA Bank | Hong Kong | 2020 | 1 | 2 | 1 | 4.0 | 1 | 8 | 4.5 | 0 | 1 | 8 | 2 | 0 | 6.6 | 1 | 1 | 4 | 4.0 | 1 | 1.0 | 20.1 |
| 53 | Uala | Argentina | 2017 | 2 | 4 | 2 | 8.0 | 3 | 3 | 3.0 | 0 | 1 | 6 | 1 | 0 | 4.8 | 1 | 1 | 1 | 2.0 | 2 | 2.0 | 19.8 |
| 54 | Carbon | Kenya | 2012 | 2 | 5 | 5 | 12.0 | 3 | 3 | 3.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 19.8 |
| 55 | Fino P Bank | India | 2017 | 2 | 4 | 1 | 7.0 | 1 | 5 | 3.0 | 5 | 3 | 1 | 2 | 0 | 6.6 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 19.6 |
| 56 | Simplii | Canada | 2017 | 2 | 2 | 5 | 9.0 | 1 | 6 | 3.5 | 0 | 2 | 1 | 1 | 0 | 2.4 | 2 | 2 | 1 | 3.3 | 1 | 1.0 | 19.2 |
| 57 | CIMB | Philippines | 2018 | 2 | 5 | 4 | 11.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 2 | 2.7 | 1 | 1.0 | 19.0 |
| 58 | Varo | US | 2017 | 2 | 5 | 2 | 9.0 | 1 | 5 | 3.0 | 0 | 2 | 1 | 2 | 0 | 3.0 | 1 | 1 | 1 | 2.0 | 2 | 2.0 | 19.0 |
| 59 | Toss Bank | South Korea | 2021 | 1 | 4 | 3 | 8.0 | 1 | 4 | 2.5 | 0 | 0 | 0 | 0 | 0 | 0.0 | 4 | 3 | 4 | 7.3 | 1 | 1.0 | 18.8 |
| 60 | Kuda | Nigeria | 2019 | 2 | 5 | 4 | 11.0 | 1 | 3 | 2.0 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 18.4 |
| 61 | Monobank | Ukraine | 2017 | 2 | 5 | 2 | 9.0 | 1 | 8 | 4.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 18.3 |
| 62 | Mach | Chile | 2017 | 2 | 3 | 4 | 9.0 | 1 | 3 | 2.0 | 0 | 1 | 5 | 1 | 0 | 4.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 18.2 |
| 63 | Atom Bank | UK | 2015 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 2 | 2 | 9 | 8.7 | 2 | 2.0 | 18.0 |
| 64 | Zopa Bank | UK | 2020 | 1 | 2 | 1 | 4.0 | 1 | 5 | 3.0 | 0 | 2 | 5 | 3 | 0 | 6.0 | 2 | 1 | 1 | 2.7 | 2 | 2.0 | 17.7 |
| 65 | blu | Indonesia | 2021 | 1 | 4 | 2 | 7.0 | 1 | 4 | 2.5 | 0 | 1 | 0 | 1 | 0 | 1.2 | 1 | 1 | 7 | 6.0 | 1 | 1.0 | 17.7 |
| 66 | Airstar Bank | Hong Kong | 2020 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 1 | 6 | 2 | 0 | 5.4 | 1 | 1 | 5 | 4.7 | 1 | 1.0 | 16.6 |
| 67 | ING Bank | Philippines | 2018 | 2 | 4 | 3 | 9.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 16.3 |
| 68 | NSDL P Bank | India | 2017 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 1 | 10 | 1 | 0 | 7.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 15.7 |
| 69 | EQ Bank | Canada | 2016 | 1 | 1 | 3 | 5.0 | 1 | 5 | 3.0 | 0 | 2 | 1 | 1 | 0 | 2.4 | 3 | 2 | 1 | 4.0 | 1 | 1.0 | 15.4 |
| 70 | Discovery Bank | South Africa | 2018 | 1 | 1 | 2 | 4.0 | 1 | 4 | 2.5 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 6 | 5.3 | 1 | 1.0 | 15.2 |
| 71 | Allica Bank | UK | 2020 | 1 | 1 | 1 | 3.0 | 1 | 3 | 2.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 9 | 7.3 | 1 | 1.0 | 15.1 |
| 72 | Lunar | Denmark | 2015 | 1 | 2 | 1 | 4.0 | 3 | 8 | 5.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 2 | 2.7 | 1 | 1.0 | 15.0 |
| 73 | LINE Bank | Taiwan | 2021 | 1 | 4 | 1 | 6.0 | 3 | 4 | 3.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 2 | 2.7 | 1 | 1.0 | 15.0 |
| 74 | Jenius | Indonesia | 2016 | 2 | 4 | 1 | 7.0 | 1 | 5 | 3.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 14.8 |
| 75 | Flowe | Italy | 2020 | 1 | 3 | 3 | 7.0 | 1 | 5 | 3.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 14.8 |
| 76 | Marcus | UK | 2018 | 1 | 3 | 1 | 5.0 | 1 | 2 | 1.5 | 0 | 2 | 1 | 1 | 0 | 2.4 | 1 | 4 | 1 | 4.0 | 1 | 1.0 | 13.9 |
| 77 | Up | Australia | 2018 | 1 | 1 | 4 | 6.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 13.3 |
| 78 | TNEX | Vietnam | 2020 | 1 | 3 | 2 | 6.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 13.3 |
| 79 | Ligo | Peru | 2019 | 1 | 3 | 2 | 6.0 | 1 | 3 | 2.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 12.8 |
| 80 | TMRW | Indonesia | 2020 | 1 | 3 | 1 | 5.0 | 1 | 4 | 2.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 12.3 |
| 81 | TIMO | Vietnam | 2016 | 1 | 1 | 2 | 4.0 | 1 | 6 | 3.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 12.3 |
| 82 | TMRW | Thailand | 2019 | 1 | 1 | 2 | 4.0 | 1 | 4 | 2.5 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.9 |
| 83 | meem | KSA | 2014 | 1 | 1 | 1 | 3.0 | 2 | 6 | 4.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.8 |
| 84 | KEPT | Thailand | 2020 | 1 | 1 | 2 | 4.0 | 1 | 3 | 2.0 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.4 |
| 85 | Rakuten Bank | Taiwan | 2021 | 1 | 1 | 1 | 3.0 | 3 | 4 | 3.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.3 |
| 86 | LINE Bank | Indonesia | 2021 | 1 | 3 | 1 | 5.0 | 1 | 3 | 2.0 | 0 | 0 | 1 | 1 | 0 | 1.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.2 |
| 87 | ila | Bahrain | 2019 | 1 | 1 | 1 | 3.0 | 1 | 3 | 2.0 | 0 | 1 | 2 | 2 | 0 | 3.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 11.0 |
| 88 | Hala | KSA | 2018 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 1 | 2 | 1 | 0 | 2.4 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 10.9 |
| 89 | Pepper | Israel | 2017 | 1 | 1 | 1 | 3.0 | 1 | 5 | 3.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 10.8 |
| 90 | MOX Bank | Hong Kong | 2020 | 1 | 2 | 1 | 4.0 | 1 | 5 | 3.0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | 1 | 2 | 2.7 | 1 | 1.0 | 10.7 |
| 91 | KOHO | Canada | 2015 | 1 | 2 | 1 | 4.0 | 1 | 2 | 1.5 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 10.3 |
| 92 | WeLab Bank | Hong Kong | 2020 | 1 | 1 | 1 | 3.0 | 1 | 5 | 3.0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | 1 | 3 | 3.3 | 1 | 1.0 | 10.3 |
| 93 | YAP | UAE | 2021 | 1 | 1 | 1 | 3.0 | 1 | 5 | 3.0 | 0 | 0 | 1 | 1 | 0 | 1.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 10.2 |
| 94 | Tonik Bank | Philippines | 2021 | 1 | 2 | 1 | 4.0 | 1 | 4 | 2.5 | 0 | 0 | 1 | 0 | 0 | 0.6 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 10.1 |
| 95 | Alex Bank | Australia | 2021 | 1 | 1 | 1 | 3.0 | 1 | 3 | 2.0 | 0 | 1 | 1 | 1 | 0 | 1.8 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 9.8 |
| 96 | BruBank | Argentina | 2019 | 1 | 1 | 1 | 3.0 | 1 | 4 | 2.5 | 0 | 0 | 1 | 1 | 0 | 1.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 9.7 |
| 97 | livi Bank | Hong Kong | 2020 | 1 | 2 | 1 | 4.0 | 1 | 4 | 2.5 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 9.5 |
| 98 | Bank Zero | South Africa | 2021 | 1 | 1 | 1 | 3.0 | 1 | 3 | 2.0 | 0 | 0 | 1 | 1 | 0 | 1.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 9.2 |
| 99 | Fusion Bank | Hong Kong | 2020 | 1 | 1 | 1 | 3.0 | 1 | 5 | 3.0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 9.0 |
| 100 | Bankiom | UAE | 2020 | 1 | 1 | 1 | 3.0 | 1 | 2 | 1.5 | 0 | 1 | 0 | 1 | 0 | 1.2 | 1 | 1 | 1 | 2.0 | 1 | 1.0 | 8.7 |
Notes: Scores for ING Global are based on group retail banking.
- Scores for ING Australia were adjusted for retail banking.
- Scores for digital banks in Japan and payment banks in India reflect FY March 2021 performance data, except for Rakuten Bank, Sony Bank and au Jibun Bank from Japan where scores are based on full calendar year 2021.
- User scores for Indian payments banks are based on deposit account holders.
- blu by BCA Indonesia is based on data from BCA Digital.
- Under the assessment dimension ‘coverage’, we mapped the product scope of digital banks across 12 top line products including mortgage, personal loan, car loan, credit card, CASA account, time deposit, debit card, e-wallet, international remittances, mutual fund/fixed income, life insurance and non-life insurance.
Source: TABInsights
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Bryan Lo
Risk Management & Regulatory Strategy Expert
Brian Lo is a seasoned risk professional with nearly 30 years of experience across global financial institutions. Based in Hong Kong and Singapore, he has led teams in managing market and liquidity risk, counterparty risk, and asset and liability management. His expertise encompasses quantitative modelling, risk governance, stress testing, and regulatory compliance. Brian has also played a critical role in developing internal risk models, driving strategic initiatives, and advising on cutting-edge risk solutions, including AI and machine learning applications. Throughout his career, he has served on multiple risk committees, providing strategic insights to senior management and boards, and has been instrumental in implementing Basel reforms and risk management innovations. Brian’s approach integrates deep technical knowledge with practical leadership, making him a valuable contributor to banking risk management education and practice.
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Sina is Chief Data Officer at Unique AG – a rising European startup providing a GenAI-driven platform called Unique.AI to better understand customers and build more meaningful client relationships. Unique.AI is a tailored solution for the financial industry that aims to increase productivity by automating manual workload through AI and ChatGPT solutions.
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