Banking Paper写作范文：Impacts of Data Science on Finance and Banking

s now, both new and existing, are moving toward a data-driven business model due to the amount of insight and direction that can be extracted from consumer data. This means that the prevalence of data science in finance and banking will only increase in the future, creating many more jobs for those working with data and allowing more scientific research to be undertaken to better understand how we interact with each other and the wider economy. This insight will continue to optimise society's experience with finance and invigorate innovation in areas such as FinTech - ultimately tending towards a world in which individuals and large institutions can integrate easily, operate securely and deal with a wide variety of financial services seamlessly.

References 参考文献
[1] R. Bannister, "MoneySavingExpert.com: Open Banking explained,"
[2] J. McCarthy, "Machine learning and data are powering Monzo's fintech disruption — The Drum,"
[3] Best British Banks, "The winners of the Best British Bank Awards 2019,"
[4] D. Nicolacakis, "PwC Q&A: What is FinTech?"
[5] M. Hatch, G. Hwa, and J. Lloyd, "EY: Eight ways FinTech adoption remains on the rise,"
[6] R. Pierre, "Detecting Financial Fraud Using Machine Learning: Winning the War Against Imbalanced Data,"
[7] G2, "Best Fraud Detection Software 2019,
[8] SAS, "What is Predictive Analytics & why is it important?"
[9] MathWorks, "What is the Genetic Algorithm?

Paper写作范文分析由于数据科学的引入，金融和银行业的一些领域发生了巨大的变化。在考虑金融市场、全球交易、个人银行业务和投资管理时，金融的数量性质和涉及的大量数据使该行业成为通过数据进行创新的主要目标。由于可以从消费者数据中提取大量的洞察力和方向，现在许多公司，无论是新公司还是现有公司，都在朝着数据驱动的业务模式发展。

Paper写作范文总结这意味着数据科学在金融和银行业的普及率在未来只会增加，为数据工作者创造更多的就业机会，并允许开展更多的科学研究，以更好地了解我们如何相互作用以及更广泛的经济。这种洞察力将继续优化社会的金融经验，并激发金融科技等领域的创新——最终走向一个个人和大型机构可以轻松整合、安全运营并无缝处理各种金融服务的世界。本站提供各国各专业Paper写作指导服务，如有需要可在线咨询。