Consilient reinvents AML/CFT through a behavioral-based Federated Machine Learning, enabling collaboration while enhancing privacy.
Consilient is a provider of anti-money laundering and countering the financing of terrorism knowledge to bring more secure and effective solutions for financial institutions. It utilizes a behavioral-based, federated machine learning-driven utility and governance model that help financial institutions share information about risks and illicit actors in real-time while adhering to privacy protections and data localization restrictions.
Consilient founders partnered with The Bowdoin Group to find the firm’s first President. The client’s goal was to engage with candidates with deep AML (anti-money laundering)/KYC (know your customer) experience that could effectively run the organization.
The perfect candidate:
- Seasoned executive with deep knowledge of the FinTech ecosystem, specifically of the AML/KYC space
- Extensive leadership experience
- Someone able to develop the go-to-market strategy at Consilient
- Someone able to raise money for the business
The TBG Process
- Followed a very pointed strategy for this search, exclusively pursuing candidates with AML/KYC experience
- Bowdoin recruiter Jim Urquhart drove a 70% response rate, and the team submitted a slate of 7 total candidates to the client
- Two very strong candidates made it to the final stage of the process
- Clients relied heavily on guidance from The Bowdoin Group in making the final decision
- Executive Search
- Seed/Angel round