AI in Finance Summit New York 2027

The AI in Finance Summit NY is a two-day in-person conference organised by RE•WORK, with Paola Leites de Moraes named as conference director. The 2027 edition is set for 12 and 13 April at Convene One Liberty Plaza, 1 Liberty St, in Manhattan's Financial District. The World Trade Center PATH station, served from Jersey City and Hoboken, is about five minutes away on foot, the M20, M22 and M55 buses stop nearby, and there are parking garages on John Street, Liberty Street and Nassau Street. The audience is technical and strategic staff from banking, financial services and insurance. The organiser's attendee profile names data scientists, ML engineers, principal data scientists, directors of applied AI, group heads of data and analytics, senior strategy and innovation directors and VPs of emerging tech. RE•WORK says it chooses agenda topics and speakers after consulting its community, and it makes an attendee list available on request. The topic list for this edition covers agentic AI and autonomous finance, governance, risk and regulation, explainable AI, fraud and financial crime, generative AI, forecasting and scenario planning, AI in trading and investment, data infrastructure and readiness, return on investment when scaling AI, and how the CFO role is changing. A separate themes page adds deep learning, NLP for chatbots, MLOps, synthetic data, ethics and model optimisation. Five speakers had been confirmed at the time of writing: Koosha Golmohammadi of JPMorgan Chase, Silvana Miller of Mastercard, Akash Nikam of Vanguard, Dhivya Nagasubramanian of U.S. Bank and Jacob Georgeson of Atlanticus. The organiser says more names will follow and accepts suggestions for speakers and start-ups. A brochure, an agenda download and a sponsorship prospectus are offered on the official site. A single ticket covers every session, but the registration page did not show prices or tiers when this page was prepared. For affiliates and media buyers the fit is indirect. This is a summit for people who build, buy and govern AI inside banks, card networks and asset managers, and none of the published topics deals with acquisition, traffic or partner programmes. It is most useful for fintech and forex affiliate managers who want to follow how large institutions handle fraud detection, explainable models and regulation, and for vendors selling fraud, compliance or data tools into financial services.