About this role
MoneyLion is hiring a Director of AI for a full-time, remote-friendly role based out of the Kuala Lumpur technology hub. This senior leadership position is ideal for an experienced AI executive ready to drive machine learning science, engineering, and generative AI initiatives across consumer financial products.
Role Overview
The Director of AI will shape how artificial intelligence is built, scaled, and applied throughout MoneyLion. Operating at multiple altitudes, this leader defines overarching strategy, builds strong technical teams, and guides architecture and model lifecycle decisions. The Kuala Lumpur office serves as a major technology hub where this role will champion the democratization of AI to accelerate company-wide operations and product delivery.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
MoneyLion operates as part of Gen, a global enterprise dedicated to delivering digital freedom and financial wellness to nearly 500 million users across more than 150 countries. Gen brands share a collective vision to protect consumers and help them manage and secure their digital and financial lives through award-winning cybersecurity, privacy, and financial solutions.
How to Apply
Interested candidates should submit their application directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the job title for this position?
The job title is Director of AI - MoneyLion.
Where is the position located?
The role is based in Kuala Lumpur, Malaysia, within a major technology hub for the company and offers remote flexibility.
What department does this role belong to?
This role belongs to the Product & Portfolio department.
What key domains of artificial intelligence are relevant to this role?
Relevant domains include applied machine learning, search, recommendation systems, decisioning, LLM-powered systems, GenAI products, and internal AI platforms.
What experience is strongly preferred for candidates?
Experience in fintech, fraud, risk, decisioning, marketplace systems, or regulated environments is strongly preferred.
