FinTech

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A New Banking Model for Africa: Lessons on Digitization from Four Years of Operations

IFC and Mastercard Foundation guide to support financial institutions embarking on their digital transformation

International Finance Corporation and Mastercard Foundation report sets out lessons on digitization. This study extracts lessons from several interim reports into a singular end report on DFS strategy and implementation, business models and how institutional culture and change management influence organizations undertaking a DFS journey. By analyzing the experiences of these FIs over time, the study yields valuable lessons and benchmarks for the industry and helps to differentiate salient DFS issues faced by FIs versus mobile network operators.

Publisher: International Organizations Release date: Apr 2019

Type: Consultative, discussion and issues paper

Topics: FinTech, Operational risk, Consumer education and protection

Sectors: Banking

Fintech in Latin America and the Caribbean: Stocktaking

IMF report provides insight into FinTech developments, risks arising and initial regulatory responses

International Monetary Fund paper documents the evolution of FinTech in Latin America and the Caribbean, focusing on financial development, the FinTech landscape for domestic and cross border payments and alternative financing, cybersecurity, financial integrity and stability risks, regulatory responses, and considerations for central bank digital currencies.

Publisher: International Organizations Release date: Mar 2019

Type: Consultative, discussion and issues paper

Topics: FinTech, Cyber risk, Operational risk

Sectors: Banking

RegTech and SupTech: Change for Markets and Authorities

ESMA report sets out how some financial institutions are using FinTech to meet regulatory requirements

European Securities and Markets Authorities report sets out results of analysis of regulatory and supervisory technologies currently being developed in response to various demand and supply drivers.

Publisher: Regional Standard-Setting Bodies Release date: Mar 2019

Type: Consultative, discussion and issues paper

Topics: FinTech, Financial inclusion, Financial market infrastructure, Operational risk, Cyber risk

Sectors: Securities

FinTech and Market Structure in Financial Services

FSB report on market developments and potential financial stability implications

Financial Stability Board report sets out latest thinking on potential FinTech risks to financial stability.

Publisher: Global Standard-Setting Bodies Release date: Feb 2019

Type: Consultative, discussion and issues paper

Topics: FinTech

Sectors: Banking, Insurance, Securities

Review of the Fund's Strategy on Anti-Money Laundering and Combating the Financing of Terrorism

IMF paper sets out why AML/CFT matters and how international organizations can help to address money laundering

International Monetary Fund paper sets out: i) evolution of the IMF's approach to financial integrity issues; ii) fund surveillance; iii) fund-supported programs; iv) financial sector assessment program; v) capacity development; vi) and other AML/CFT work.

Publisher: International Organizations Release date: Feb 2019

Type: Consultative, discussion and issues paper

Topics: Money laundering and terrorist financing, FinTech

Sectors: Banking

Supervision of Cyber Risk

TC Note provides broad discussion of cyber risk and sets out framework for its supervision

TC Note sets out the nature of cyber risk and outlines the fundamental elements of a framework for implementing an effective supervision program for cyber risk assessment in regulated financial institutions. Discusses how supervisors may assess institutions' governance policies and practices for cyber risk management.

Publisher: Toronto Centre Release date: Dec 2018

Type: TC Notes

Peer: FinTech, RegTech and SupTech: What They Mean for Financial Supervision

Topics: Cyber risk, FinTech, Operational risk

Sectors: Banking, Insurance, Pensions, Securities

Cyber Lexicon

FSB lexicon of key terms related to cyber security and cyber resilience in the financial sector

Financial Stability Board common lexicon of terms to support work of standard setting bodies and national authorities in dealing with cyber risk.

Publisher: Global Standard-Setting Bodies Release date: Nov 2018

Type: Consultative, discussion and issues paper

Topics: Cyber risk, FinTech

Sectors: Banking, Insurance, Pensions, Securities

Principles to Promote Fairness, Ethics, Accountability and Transparency in the Use of Artificial Intelligence and Data Analytics

MAS guidance on the responsible use of artificial intelligence and data analytics

Monetary Authority of Singapore principles provide guidance to firms offering financial products and services on the responsible use of artificial intelligence and data analytics to strengthen internal governance around data management and use.

Publisher: National Regulators Release date: Nov 2018 Country: Singapore

Type: Consultative, discussion and issues paper

Topics: Cyber risk, FinTech, Corporate governance

Sectors: Banking, Insurance, Pensions, Securities

Prudential Standard on Information Security

APRA prudential requirements for addressing cyber risk and other information security threats

Australian Prudential Regulation Authority standard to minimize the likelihood and impact of information security incidents on the confidentiality, integrity or availability of information assets, including those managed by related parties or third parties.

Publisher: National Regulators Release date: Nov 2018 Country: Australia

Type: Standard

Topics: Cyber risk, FinTech, Operational risk

Sectors: Banking, Insurance, Pensions

Machine Learning in Anti-Money Laundering

Results of IIF study of how financial institutions apply machine learning techniques to combat money laundering

Institute of International Finance summary of how machine learning techniques can help banks and insurers to improve effectiveness and efficiency in complying with anti-money laundering requirements. IIF surveyed 59 financial institutions (54 banks and five insurance companies) representing firms from all continents and across a diverse range of business models and firm sizes. Survey demonstrates that the application of machine learning and artificial intelligence is spreading in the financial industry.

Publisher: Industry Groups Release date: Oct 2018

Type: Consultative, discussion and issues paper

Topics: Money laundering and terrorist financing, FinTech

Sectors: Banking, Insurance

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Resources

382 records

A New Banking Model for Africa: Lessons on Digitization from Four Years of Operations

Fintech in Latin America and the Caribbean: Stocktaking

RegTech and SupTech: Change for Markets and Authorities

FinTech and Market Structure in Financial Services

Review of the Fund's Strategy on Anti-Money Laundering and Combating the Financing of Terrorism

Supervision of Cyber Risk

Cyber Lexicon

Principles to Promote Fairness, Ethics, Accountability and Transparency in the Use of Artificial Intelligence and Data Analytics

Prudential Standard on Information Security

Machine Learning in Anti-Money Laundering

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