My name is Cori Shen, and for more than 18 years, I've been drawn to a specific kind of problem: how do you use data and AI to help people and businesses trust each other? It's a question that sits at the intersection of technology and human behavior, and it's shaped nearly every chapter of my career.

I've spent my career building and scaling data science and technology organizations across financial services, payments, and healthcare — industries where the stakes of getting it wrong are high, and the value of getting it right is transformative. Along the way, I've led AI R&D, product development, and Ops transformation, always with the same underlying question in mind: how do we turn data into something that genuinely helps people?

What I love most is solving hard problems in fraud, risk, and personalization. There's something deeply satisfying about building systems that can tell the difference between a legitimate customer and a bad actor, that can predict what someone needs before they ask, and that can do all of this without adding friction to someone's day. Over the years, I've had the privilege of helping more than 100 companies across financial services, payments, e-commerce, and healthcare navigate this exact challenge — delivering the tools/systems/insights to help find the right customers while preventing fraud and scams, build trust, and enhance frictionless experiences with risk-based personalization..

Right now, I lead Fraud — spanning Data, ML/AI, Engineering, and Operations — as the center of excellence at a US based fintech bank. When I stepped into this role with the need of transformation, and I made it my mission to rebuild it into a high-performing organization with real execution rigor and a culture people could be proud of. Together, we architected a data-driven, multi-layer fraud prevention strategy that integrates advanced analytics, machine learning, and real-time AI decisioning.

I've always believed that sustainable impact comes from more than just strong models — it starts with holistic strategy,requires solid execution , and most importantly: motivated/innovated team. That's why I built modern fraud playbooks, governance structures, and operating standards that ensure consistent execution across teams, not just a single successful project. I designed fraud controls that thread a difficult needle: mitigating risk, satisfying regulatory expectations, and preserving a frictionless customer experience — work that auditors and regulators, including the OCC, have recognized and commended.

I've also come to see myself as a bridge — between the technical and the strategic, between the data science and the boardroom. I regularly partner with Chief Product Officers, and VPs and SVPs of Technology and Strategy, on shaping AI vision, growth strategy, and product roadmaps, and on evaluating business cases, investments, and M&A decisions. I bring technical depth to those conversations, but I also bring a strategic lens — because the best AI strategy is worthless if it doesn't translate into business outcomes people can trust.

Above all, I believe in solving problems customers actually care about, and I believe the best way to do that is side by side with them. I've created co-innovation programs that let clients bring their specific fraud, risk, and marketing challenges to the table, so we could build bespoke machine learning models tailored to their exact needs. I've set up early adopter programs designed for rapid prototyping, faster time to market, and stronger ROI — because innovation that never leaves the lab doesn't help anyone.

If there's a thread that ties all of this together, it's this: I don't just want to build smart technology. I want to build technology that people can trust — technology that protects them, understands them, and treats them fairly. That's the work I've dedicated my career to, and it's the work I'm still excited to do every day.

This space is dedicated to my personal insights and professional experiences, serving as a platform for expression and exchange for networking, recruiting, talent acquisition, and knowledge sharing. All content, views, and opinions shared here are solely my own and do not represent or reflect the views of any other businesses associated with me.