
Lead AI Scientist, Manager - MoneyLion
About this role
The Lead AI Scientist, Manager role at MoneyLion is an opportunity based in Kuala Lumpur, Malaysia, offering remote work flexibility within the Product and Portfolio department. This position suits an experienced technical leader who enjoys guiding applied machine learning teams to deliver scalable solutions that drive measurable business growth.
Role Overview
MoneyLion is seeking a Manager for Machine Learning and AI to combine people leadership, technical direction, and cross-functional execution. The professional in this position will take charge of bringing advanced artificial intelligence initiatives from early exploration into full production. The job involves shaping team roadmaps, directing technical choices, and collaborating closely with engineering, data, and product teams to build reliable systems that create real value for consumers.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
MoneyLion operates as part of Gen, a global enterprise dedicated to powering digital freedom through trusted consumer brands like Norton, Avast, LifeLock, and MoneyLion. Gen delivers award-winning cybersecurity, privacy, digital safety, and financial wellness tools to nearly 500 million users across more than 150 countries. The organization values smart, fearless talent that views artificial intelligence as a collaborative teammate to move faster and deliver impactful results.
How to Apply
Interested candidates should visit the official company careers page to submit an application and learn more about the hiring process.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is based in Kuala Lumpur, Malaysia, with remote working options available.
What department does this role belong to?
The role sits within the Product and Portfolio department at MoneyLion.
What programming languages are required?
Strong hands-on familiarity and programming knowledge in Python and SQL are required for the role.
What is the interview process like?
The hiring process includes a screening call, a take-home assessment, a hiring manager interview, and a stakeholder chat.
Are there any preferred or nice-to-have skills?
Exposure to natural language processing, search algorithms, recommendation systems, or modern generative AI and LLM application patterns is considered a plus.