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Stacy Dubovik

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Financial Technology & AI Researcher, ScienceSoft

Verified 6+ years in the financial technology domain

Finance digital transformation

Fintech

Artificial intelligence

Blockchain

Stacy Dubovik is a Financial Technology and AI Researcher at ScienceSoft. She explores digital transformation in finance, AI, and blockchain use cases to shape realistic service offerings for investment, insurance, lending, and fintech clients.

Stacy joined ScienceSoft in 2020, bringing in her expertise in large-scale digital transformation projects and practical knowledge of the business development and investment domains. With a degree in International Business Administration, she dedicated early years of her career to an enterprise-wide innovation project where she worked as a stakeholder on a client’s side. After that, she worked in the management track of a real estate investment company. Inspired by the way emerging technologies are revolutionizing business operations and transforming the financial sector, Stacy decided to redirect her career toward technology research, with a focus on financial technology.

At ScienceSoft, Stacy works side by side with business analysts, solution architects, and engineers to help create innovative solutions that bring unique value to ScienceSoft’s clients. As a Financial Technology Researcher, she frames ScienceSoft’s service offerings in investment IT, insurance IT, lending IT, fintech, and other domains. Her meticulous research and strong understanding of both financial technology and the BFSI sector's operational nuances contribute to ScienceSoft’s expertise and realistic offerings in the financial services transformation domain.

As an AI Researcher, Stacy explores the use cases and secure implementation options for artificial intelligence in finance. She creates comprehensive guides that help businesses understand the capabilities and limitations of agentic AI, generative AI, and machine learning technologies and make informed decisions on their adoption. In her pages, Stacy overviews ways to adapt large language models (LLMs) for financial services, high-value agentic AI capabilities for core insurance tasks, architecture options for investment AI systems, and other practical aspects.

As more BFSI companies continue to explore blockchain technologies, Stacy also dedicates part of her research to the practical applications of blockchain in financial services. In her recent blockchain-focused articles, she elaborates on how to architect smart contracts for insurance, perform tokenization of tradeable assets, build a blockchain for cross-border payments, and tap into blockchain-based lending.

Stacy continuously monitors customer expectations, technology trends, and emerging fintech products in the BFSI market. As part of this work, she authors quarterly technology overviews, including AI trend watch reports covering the investment and insurance industries.

I believe that the true potential of fintech-driven disruption goes far beyond boosting business efficiency and improving customer experience for a particular company. Rather, it’s about building a more transparent and accessible global financial system that brings equally high benefits to all its participants.

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