Data science and AI in FinTech: An overview
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Abstract (arXiv)
Financial technology (FinTech) has been playing an increasingly critical role in driving modern economies, society, technology, and many other areas. Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and new-generation AI and (DSAI) techniques. Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems. The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and blockchain, and the DSAI techniques including complex system methods, quantitative methods, intelligent interactions, recognition and responses, data analytics, deep learning, federated learning, privacy-preserving processing, augmentation, optimization, and system intelligence enhancement. Here, we present a highly dense research overview of smart financial businesses and their challenges, the smart FinTech ecosystem, the DSAI techniques to enable smart FinTech, and some research directions of smart FinTech futures to the DSAI communities.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jul 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 4; 2024: 1.
7 papers.
- 2021AI in Finance: Challenges, Techniques and Opportunitiescited by 81
- 2023Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Modelscited by 20
- 2023Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptationcited by 4
- 2022Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Predictioncited by 3
- 2023Systematic Review on Reinforcement Learning in the Field of Fintechcited by 2
- 2023Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modelingcited by 2
- 2024InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?cited by 1
- 2024InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?16 Feb 2024
- 2023Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models1 Oct 2023
- 2023Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation5 Sep 2023
- 2023Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling9 May 2023
- 2023Systematic Review on Reinforcement Learning in the Field of Fintech29 Apr 2023
- 2022Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction10 Jul 2022
- 2021AI in Finance: Challenges, Techniques and Opportunities20 Jul 2021