About this role
Rogo is seeking a full-time Forward Deployed, Wealth Management professional based in New York City to lead client engagements and guide major financial firms in implementing artificial intelligence solutions. This position suits experienced wealth management professionals who want to shape the future of financial workflows using cutting-edge technology.
Role Overview
As part of the Strategic Opportunities department, this role sits on a team of former finance professionals who assist top-tier institutions in integrating artificial intelligence into daily operations and overarching strategies. The chosen candidate will drive full-cycle client relationships, secure financial wins by demonstrating platform value, and bridge the gap between technical AI capabilities and real-world investment use cases in New York City.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Rogo is redefining global finance by equipping professionals at leading private equity funds, investment banks, and financial firms with artificial intelligence that offers remarkable speed and accuracy. Backed by top-tier investors and experiencing rapid global scaling, the enterprise aims to transform crucial industry workflows and pioneer a brand new category of business technology.
How to Apply
Interested candidates should visit the official Rogo careers page to submit their application for this position.
Skills and tech stack
Questions candidates ask
What is the location of this job?
This position is located in New York City and is a full-time, on-site role.
What experience is required to apply?
Candidates must have three or more years of background in private or brokerage wealth management, ideally within a top-tier banking or private banking platform.
What is the salary range for this role?
The annual salary ranges from $115,000 to $200,000 USD.
What department does this role belong to?
This position is part of the Strategic Opportunities department.
Are there any bonus qualifications mentioned?
Yes, having background as an early employee at a hyper-growth startup and possessing knowledge of large language models are listed as bonus qualifications.
