World's Best Financial Platforms Ranking 2025
In response to the growing influence of financial platforms, TABInsights has developed a comprehensive assessment of the world’s leading financial platforms since 2022. These platforms are technology-driven ecosystems that provide a range of financial services and tools, often through a digital interface such as a mobile app or website. By leveraging technology, these platforms simplify, innovate, and democratise access to financial products and services.
The financial platforms are ranked based on a six-dimensional balanced scorecard that evaluates their capabilities across six critical areas: customer, coverage and service scope, usage and engagement, financial performance, ecosystem, and strategy and leadership.
| Rank | Platform | Country/Region | Year of launch | Customer | Coverage and Service Scope | Usage and Engagement | Financial Performance | Ecosystem | Strategy and Leadership | Final score | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Users | User growth | Total Score | # of markets |
# of financial
products
|
Total Score | GTV/User | GTV growth | NPS | Total Score | Gross revenue | Revenue growth | Profitability | Total Score | Extensiveness of ecosystems | Total Score | Key achievements | Total Score | |||||
| Score | Score | 20% | Score | Score | 20% | Score | Score | Score | 20% | Score | Score | Score | 20% | Score | 10% | Score | 10% | |||||
| 10 | 10 | 20 | 10 | 8 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 10 | 100 | ||||
| 1 | Alipay | Global | 2004 | 10.0 | 1.0 | 11.0 | 10.0 | 7.0 | 18.9 | 10.0 | 2.0 | 6.2 | 12.1 | 10.0 | 2.0 | 7.0 | 12.7 | 8.0 | 8.0 | 7.0 | 7.0 | 69.7 |
| 2 | Revolut | Global | 2015 | 4.0 | 8.0 | 12.0 | 10.0 | 7.0 | 18.9 | 10.0 | 6.0 | 1.0 | 11.3 | 6.0 | 10.0 | 9.0 | 16.7 | 5.0 | 5.0 | 5.0 | 5.0 | 68.9 |
| 3 | Global | 2011 | 10.0 | 1.0 | 11.0 | 10.0 | 5.0 | 16.7 | 10.0 | 2.0 | 5.6 | 11.7 | 10.0 | 2.0 | 7.0 | 12.7 | 8.0 | 8.0 | 6.0 | 6.0 | 66.1 | |
| 4 | Apple Pay | Global | 2014 | 10.0 | 2.0 | 12.0 | 10.0 | 4.0 | 15.6 | 10.0 | 3.0 | 3.7 | 11.1 | 7.0 | 3.0 | 8.0 | 12.0 | 6.0 | 6.0 | 6.0 | 6.0 | 62.7 |
| 5 | PayPal | Global | 1998 | 10.0 | 0.0 | 10.0 | 10.0 | 7.0 | 18.9 | 8.0 | 2.0 | 1.0 | 7.3 | 10.0 | 1.0 | 8.0 | 12.7 | 6.0 | 6.0 | 6.0 | 6.0 | 60.9 |
| 6 | Mercado Pago | Latin and South America | 2003 | 5.0 | 5.0 | 10.0 | 8.0 | 8.0 | 17.8 | 8.0 | 5.0 | 5.0 | 12.0 | 9.0 | 4.0 | 0.0 | 8.7 | 6.0 | 6.0 | 5.0 | 5.0 | 59.4 |
| 7 | Wise | Global | 2011 | 4.0 | 6.0 | 10.0 | 10.0 | 3.0 | 14.4 | 10.0 | 2.0 | 2.5 | 9.7 | 6.0 | 5.0 | 10.0 | 14.0 | 5.0 | 5.0 | 6.0 | 6.0 | 59.1 |
| 8 | GCash | Philippines | 2004 | 5.0 | 5.0 | 10.0 | 10.0 | 7.0 | 18.9 | 8.0 | 3.0 | 6.8 | 11.9 | 3.0 | 3.0 | 4.0 | 6.7 | 5.0 | 5.0 | 6.0 | 6.0 | 58.4 |
| 9 | M-Pesa | Africa | 2007 | 6.0 | 2.0 | 8.0 | 8.0 | 7.0 | 16.7 | 9.0 | 2.0 | 5.0 | 10.7 | 4.0 | 2.0 | 8.0 | 9.3 | 7.0 | 7.0 | 5.0 | 5.0 | 56.7 |
| 10 | DANA | Indonesia | 2017 | 7.0 | 5.0 | 12.0 | 1.0 | 4.0 | 5.6 | 2.0 | 10.0 | 5.3 | 11.5 | 3.0 | 4.0 | 0.0 | 4.7 | 6.0 | 6.0 | 6.0 | 6.0 | 45.8 |
| 11 | Klarna | Global | 2017 | 8.0 | 1.0 | 9.0 | 10.0 | 3.0 | 14.4 | 3.0 | 2.0 | 3.0 | 5.3 | 7.0 | 3.0 | 0.0 | 6.7 | 5.0 | 5.0 | 5.0 | 5.0 | 45.4 |
| 12 | PhonePe | India | 2016 | 9.0 | 4.0 | 13.0 | 1.0 | 4.0 | 5.6 | 8.0 | 5.0 | 3.2 | 10.8 | 4.0 | 8.0 | 0.0 | 8.0 | 4.0 | 4.0 | 4.0 | 4.0 | 45.4 |
| 13 | Sea | Southeast Asia | 2009 | 10.0 | 1.0 | 11.0 | 8.0 | 4.0 | 13.3 | 1.0 | 1.0 | 2.0 | 2.7 | 10.0 | 1.0 | 3.0 | 9.3 | 5.0 | 5.0 | 4.0 | 4.0 | 45.3 |
| 14 | Kakao Pay | South Korea | 2014 | 5.0 | 2.0 | 7.0 | 6.0 | 7.0 | 14.4 | 8.0 | 3.0 | 3.0 | 9.3 | 3.0 | 2.0 | 0.0 | 3.3 | 6.0 | 6.0 | 5.0 | 5.0 | 45.1 |
| 15 | Grab | Southeast Asia | 2012 | 5.0 | 2.0 | 7.0 | 8.0 | 5.0 | 14.4 | 3.0 | 1.0 | 1.0 | 3.3 | 7.0 | 7.0 | 0.0 | 9.3 | 6.0 | 6.0 | 5.0 | 5.0 | 45.1 |
| 16 | N26 | Europe | 2015 | 2.0 | 1.0 | 3.0 | 10.0 | 7.0 | 18.9 | 10.0 | 2.0 | 2.0 | 9.3 | 3.0 | 4.0 | 0.0 | 4.7 | 5.0 | 5.0 | 4.0 | 4.0 | 44.9 |
| 17 | Toss | South Korea | 2015 | 4.0 | 2.0 | 6.0 | 7.0 | 7.0 | 15.6 | 7.0 | 2.0 | 1.5 | 7.0 | 5.0 | 3.0 | 0.0 | 5.3 | 6.0 | 6.0 | 5.0 | 5.0 | 44.9 |
| 18 | Google Pay | Global | 2015 | 9.0 | 1.0 | 10.0 | 10.0 | 3.0 | 14.4 | 7.0 | 2.0 | 2.0 | 7.3 | 7.0 | 2.0 | 0.0 | 6.0 | 4.0 | 4.0 | 3.0 | 3.0 | 44.8 |
| 19 | Paytm | India | 2009 | 8.0 | 4.0 | 12.0 | 1.0 | 8.0 | 10.0 | 6.0 | 4.0 | 4.0 | 9.3 | 5.0 | 3.0 | 0.0 | 5.3 | 6.0 | 6.0 | 2.0 | 2.0 | 44.7 |
| 20 | TrueMoney | Southeast Asia | 2005 | 4.0 | 4.0 | 8.0 | 7.0 | 7.0 | 15.6 | 3.0 | 2.0 | 5.6 | 7.1 | 3.0 | 2.0 | 1.0 | 4.0 | 6.0 | 6.0 | 4.0 | 4.0 | 44.6 |
| 21 | Inter | Brazil&USA | 2017 | 4.0 | 6.0 | 10.0 | 2.0 | 8.0 | 11.1 | 6.0 | 4.0 | 3.0 | 8.7 | 4.0 | 4.0 | 2.0 | 6.7 | 4.0 | 4.0 | 4.0 | 4.0 | 44.4 |
| 22 | MobiKwik | India | 2009 | 6.0 | 5.0 | 11.0 | 1.0 | 5.0 | 6.7 | 1.0 | 9.0 | 4.6 | 9.7 | 3.0 | 6.0 | 4.0 | 8.7 | 4.0 | 4.0 | 4.0 | 4.0 | 44.1 |
| 23 | Starling | UK | 2015 | 2.0 | 4.0 | 6.0 | 1.0 | 5.0 | 6.7 | 10.0 | 3.0 | 3.0 | 10.7 | 4.0 | 6.0 | 9.0 | 12.7 | 4.0 | 4.0 | 4.0 | 4.0 | 44.0 |
| 24 | PayPay | Japan | 2018 | 5.0 | 2.0 | 7.0 | 1.0 | 7.0 | 8.9 | 6.0 | 3.0 | 5.0 | 9.3 | 5.0 | 3.0 | 4.0 | 8.0 | 4.0 | 4.0 | 6.0 | 6.0 | 43.2 |
| 25 | Cash App | USA | 2013 | 6.0 | 2.0 | 8.0 | 2.0 | 5.0 | 7.8 | 8.0 | 3.0 | 4.0 | 10.0 | 9.0 | 4.0 | 0.0 | 8.7 | 4.0 | 4.0 | 4.0 | 4.0 | 42.4 |
| 26 | Careem | Middle East and Africa | 2012 | 5.0 | 2.0 | 7.0 | 10.0 | 3.0 | 14.4 | 4.0 | 3.0 | 3.0 | 6.7 | 4.0 | 2.0 | 0.0 | 4.0 | 4.0 | 4.0 | 6.0 | 6.0 | 42.1 |
| 27 | Qonto | Europe | 2017 | 1.0 | 4.0 | 5.0 | 8.0 | 5.0 | 14.4 | 8.0 | 2.0 | 5.0 | 10.0 | 3.0 | 2.0 | 0.0 | 3.3 | 4.0 | 4.0 | 4.0 | 4.0 | 40.8 |
| 28 | Maya | Philippines | 2016 | 4.0 | 3.0 | 7.0 | 1.0 | 8.0 | 10.0 | 5.0 | 3.0 | 6.6 | 9.7 | 3.0 | 4.0 | 0.0 | 4.7 | 4.0 | 4.0 | 5.0 | 5.0 | 40.4 |
| 29 | Touch 'n Go | Malaysia | 1997 | 4.0 | 2.0 | 6.0 | 1.0 | 5.0 | 6.7 | 4.0 | 10.0 | 6.1 | 13.4 | 2.0 | 7.0 | 0.0 | 6.0 | 4.0 | 4.0 | 4.0 | 4.0 | 40.1 |
| 30 | MoMo | Vienam | 2010 | 4.0 | 2.0 | 6.0 | 1.0 | 7.0 | 8.9 | 5.0 | 3.0 | 5.5 | 9.0 | 3.0 | 2.0 | 0.0 | 3.3 | 6.0 | 6.0 | 6.0 | 6.0 | 39.2 |
Source: TABInsights
World's Best Financial Platforms Ranking 2024
In response to the growing influence of platforms and wallets, TABInsights has developed a comprehensive assessment of the world’s leading platforms, ranking them based on a six-dimensional balanced scorecard. This evaluation measures their capabilities across six critical areas: customer focus, service coverage, usage and engagement, financial performance, ecosystem strength, and strategy and leadership.
| Rank | Platform | Country/Region | Year of launch | Customer | Coverage and Service Scope | Usage and Engagement | Financial Performance | Ecosystem | Strategy and Leadership | Final score | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Users/ Population | User growth | Total Score | # of markets | # of financial products |
Total Score | GTV/User | GTV growth | NPS | Total Score | Gross revenue | Revenue growth | Profitable (Y/N) | Total Score | Extensiveness of ecosystems | Total Score | Key achievements | Total Score | |||||
| Score | Score | 20% | Score | Score | 20% | Score | Score | Score | 20% | Score | Score | Score | 20% | Score | 10% | Score | 10% | |||||
| 10 | 10 | 20 | 10 | 8 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 10 | 100 | ||||
| 1 | Alipay | China | 2004 | 7.0 | 1.0 | 8.0 | 10.0 | 7.0 | 18.9 | 10.0 | 1.0 | 5.4 | 10.9 | 10.0 | 1.0 | 10.0 | 14.0 | 8.0 | 8.0 | 7.0 | 7.0 | 66.8 |
| 2 | Gcash | Philippines | 2004 | 6.0 | 4.0 | 10.0 | 10.0 | 7.0 | 18.9 | 9.0 | 4.0 | 6.8 | 13.2 | 2.0 | 6.0 | 10.0 | 12.0 | 4.0 | 4.0 | 7.0 | 7.0 | 65.1 |
| 3 | WeChat Pay | China | 2013 | 5.0 | 1.0 | 6.0 | 10.0 | 5.0 | 16.7 | 10.0 | 1.0 | 5.0 | 10.7 | 10.0 | 1.0 | 10.0 | 14.0 | 7.0 | 7.0 | 5.0 | 5.0 | 59.3 |
| 4 | Wise | UK | 2011 | 2.0 | 6.0 | 8.0 | 10.0 | 3.0 | 14.4 | 10.0 | 2.0 | 2.8 | 9.9 | 6.0 | 6.0 | 10.0 | 14.7 | 5.0 | 5.0 | 6.0 | 6.0 | 58.0 |
| 5 | M-Pesa | Africa | 2007 | 2.0 | 2.0 | 4.0 | 8.0 | 7.0 | 16.7 | 9.0 | 2.0 | 5.0 | 10.7 | 4.0 | 2.0 | 10.0 | 10.7 | 7.0 | 7.0 | 6.0 | 6.0 | 55.0 |
| 6 | Apple Pay | Global | 2014 | 1.0 | 1.0 | 2.0 | 10.0 | 4.0 | 15.6 | 10.0 | 2.0 | 3.7 | 10.5 | 7.0 | 3.0 | 10.0 | 13.3 | 5.0 | 5.0 | 6.0 | 6.0 | 52.4 |
| 7 | KakaoPay | South Korea | 2014 | 8.0 | 0.0 | 8.0 | 8.0 | 5.0 | 14.4 | 8.0 | 2.0 | 0.0 | 6.7 | 3.0 | 2.0 | 10.0 | 10.0 | 6.0 | 6.0 | 6.0 | 6.0 | 51.1 |
| 8 | PayPal | Global | 1998 | 1.0 | 0.0 | 1.0 | 10.0 | 6.0 | 17.8 | 8.0 | 1.0 | 0.0 | 6.0 | 10.0 | 1.0 | 10.0 | 14.0 | 5.0 | 5.0 | 5.0 | 5.0 | 48.8 |
| 9 | Toss | South Korea | 2015 | 5.0 | 2.0 | 7.0 | 7.0 | 7.0 | 15.6 | 8.0 | 2.0 | 1.5 | 7.7 | 5.0 | 3.0 | 0.0 | 5.3 | 6.0 | 6.0 | 6.0 | 6.0 | 47.6 |
| 10 | DANA | Indonesia | 2017 | 7.0 | 5.0 | 12.0 | 1.0 | 3.0 | 4.4 | 1.0 | 10.0 | 5.3 | 10.9 | 3.0 | 6.0 | 0.0 | 6.0 | 6.0 | 6.0 | 5.0 | 5.0 | 44.3 |
Methodology: The scorecard assessment covers capabilities mapped across six key dimensions: customer, coverage and service scope, usage and engagement, financial performance, ecosystem, and strategy and leadership.
Source: TABInsights
| Rank | Platform | Country/Region | Year of launch | Customer | Coverage and Service Scope | Usage and Engagement | Financial Performance | Ecosystem | Strategy and Leadership | Final score | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Users/ Population | User growth | Total Score | # of markets | # of financial products |
Total Score | GTV/User | GTV growth | NPS | Total Score | Gross revenue | Revenue growth | Profitable (Y/N) | Total Score | Extensiveness of ecosystems | Total Score | Key achievements | Total Score | |||||
| Score | Score | 20% | Score | Score | 20% | Score | Score | Score | 20% | Score | Score | Score | 20% | Score | 10% | Score | 10% | |||||
| 10 | 10 | 20 | 10 | 8 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 20 | 10 | 10 | 10 | 10 | 100 | ||||
| 1 | Alipay | China | 2004 | 7.0 | 1.0 | 8.0 | 10.0 | 7.0 | 18.9 | 10.0 | 0.0 | 5.4 | 10.3 | 10.0 | 0.0 | 10.0 | 13.3 | 8.0 | 8.0 | 6.0 | 6.0 | 64.5 |
| 2 | Gcash | Philippines | 2004 | 5.0 | 7.0 | 12.0 | 7.0 | 7.0 | 15.6 | 8.0 | 6.0 | 7.6 | 14.4 | 2.0 | 6.0 | 10.0 | 12.0 | 3.0 | 3.0 | 7.0 | 7.0 | 64.0 |
| 3 | Wise | UK | 2011 | 2.0 | 7.0 | 9.0 | 10.0 | 3.0 | 14.4 | 10.0 | 4.0 | 3.0 | 11.3 | 5.0 | 8.0 | 10.0 | 15.3 | 5.0 | 5.0 | 6.0 | 6.0 | 61.1 |
| 4 | WeChat Pay | China | 2013 | 5.0 | 1.0 | 6.0 | 10.0 | 5.0 | 16.7 | 10.0 | 0.0 | 5.0 | 10.0 | 10.0 | 0.0 | 10.0 | 13.3 | 7.0 | 7.0 | 5.0 | 5.0 | 58.0 |
| 5 | M-Pesa | Africa | 2007 | 2.0 | 2.0 | 4.0 | 7.0 | 7.0 | 15.6 | 9.0 | 2.0 | 5.0 | 10.7 | 3.0 | 2.0 | 10.0 | 10.0 | 7.0 | 7.0 | 7.0 | 7.0 | 54.2 |
| 6 | KakaoPay | South Korea | 2014 | 8.0 | 2.0 | 10.0 | 6.0 | 4.0 | 11.1 | 8.0 | 2.0 | 1.7 | 7.8 | 3.0 | 2.0 | 10.0 | 10.0 | 6.0 | 6.0 | 6.0 | 6.0 | 50.9 |
| 7 | PayPal | Global | 1998 | 1.0 | 1.0 | 2.0 | 10.0 | 6.0 | 17.8 | 8.0 | 1.0 | 0.0 | 6.0 | 10.0 | 1.0 | 10.0 | 14.0 | 5.0 | 5.0 | 6.0 | 6.0 | 50.8 |
| 8 | DANA | Indonesia | 2017 | 9.0 | 8.0 | 17.0 | 1.0 | 2.0 | 3.3 | 1.0 | 10.0 | 5.8 | 11.2 | 3.0 | 6.0 | 0.0 | 6.0 | 6.0 | 6.0 | 7.0 | 7.0 | 50.5 |
| 9 | Apple Pay | Global | 2014 | 1.0 | 1.0 | 2.0 | 10.0 | 4.0 | 15.6 | 10.0 | 1.0 | 5.2 | 10.8 | 6.0 | 1.0 | 10.0 | 11.3 | 5.0 | 5.0 | 4.0 | 4.0 | 48.7 |
| 10 | Toss | South Korea | 2015 | 5.0 | 3.0 | 8.0 | 7.0 | 7.0 | 15.6 | 8.0 | 3.0 | 3.0 | 9.3 | 3.0 | 3.0 | 0.0 | 4.0 | 6.0 | 6.0 | 5.0 | 5.0 | 47.9 |
| 11 | Paytm | India | 2009 | 1.0 | 7.0 | 8.0 | 2.0 | 8.0 | 11.1 | 5.0 | 6.0 | 2.1 | 8.7 | 5.0 | 6.0 | 0.0 | 7.3 | 6.0 | 6.0 | 4.0 | 4.0 | 45.2 |
| 12 | MoMo | Vienam | 2010 | 3.0 | 5.0 | 8.0 | 1.0 | 7.0 | 8.9 | 4.0 | 3.0 | 4.7 | 7.8 | 2.0 | 4.0 | 0.0 | 4.0 | 7.0 | 7.0 | 7.0 | 7.0 | 42.7 |
| 13 | Grab | Southeast Asia | 2012 | 1.0 | 3.0 | 4.0 | 8.0 | 5.0 | 14.4 | 1.0 | 3.0 | 2.6 | 4.4 | 2.0 | 7.0 | 0.0 | 6.0 | 7.0 | 7.0 | 6.0 | 6.0 | 41.8 |
| 14 | GoTo | Indonesia | 2021 | 4.0 | 2.0 | 6.0 | 3.0 | 4.0 | 7.8 | 2.0 | 7.0 | 5.3 | 9.5 | 3.0 | 5.0 | 0.0 | 5.3 | 6.0 | 6.0 | 7.0 | 7.0 | 41.6 |
| 15 | Klarna | Sweden | 2017 | 1.0 | 1.0 | 2.0 | 10.0 | 3.0 | 14.4 | 3.0 | 3.0 | 2.8 | 5.9 | 6.0 | 2.0 | 0.0 | 5.3 | 5.0 | 5.0 | 7.0 | 7.0 | 39.6 |
| 16 | Papara | Turkey | 2016 | 3.0 | 7.0 | 10.0 | 1.0 | 5.0 | 6.7 | 1.0 | 2.0 | 2.0 | 3.3 | 1.0 | 3.0 | 10.0 | 9.3 | 5.0 | 5.0 | 5.0 | 5.0 | 39.3 |
| 17 | True Money | Southeast Asia | 2005 | 1.0 | 2.0 | 3.0 | 7.0 | 7.0 | 15.6 | 2.0 | 3.0 | 4.0 | 6.0 | 2.0 | 2.0 | 0.0 | 2.7 | 6.0 | 6.0 | 6.0 | 6.0 | 39.2 |
| 18 | Boost | Malaysia | 2017 | 1.0 | 3.0 | 4.0 | 7.0 | 3.0 | 11.1 | 5.0 | 3.0 | 2.7 | 7.1 | 1.0 | 6.0 | 0.0 | 4.7 | 5.0 | 5.0 | 5.0 | 5.0 | 36.9 |
| 19 | Google Pay | Global | 2015 | 1.0 | 1.0 | 2.0 | 10.0 | 3.0 | 14.4 | 3.0 | 1.0 | 3.0 | 4.7 | 8.0 | 1.0 | 0.0 | 6.0 | 4.0 | 4.0 | 4.0 | 4.0 | 35.1 |
| 20 | LINE Pay | Asia | 2014 | 1.0 | 2.0 | 3.0 | 4.0 | 7.0 | 12.2 | 7.0 | 1.0 | 3.0 | 7.3 | 3.0 | 1.0 | 0.0 | 2.7 | 5.0 | 5.0 | 3.0 | 3.0 | 33.2 |
| 21 | Venmo | US | 2009 | 3.0 | 4.0 | 7.0 | 1.0 | 4.0 | 5.6 | 8.0 | 1.0 | 0.0 | 6.0 | 4.0 | 1.0 | 0.0 | 3.3 | 4.0 | 4.0 | 5.0 | 5.0 | 30.9 |
| 22 | Samsung Pay | Global | 2015 | 1.0 | 1.0 | 2.0 | 10.0 | 2.0 | 13.3 | 2.0 | 1.0 | 1.0 | 2.7 | 1.0 | 1.0 | 0.0 | 1.3 | 3.0 | 3.0 | 2.0 | 2.0 | 24.3 |
Methdology: The scorecard assessment covers capabilities mapped across six key dimensions: customer, coverage and service scope, usage and engagement, financial performance, ecosystem, and strategy and leadership.
Source: TABInsights
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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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