

Programme management, target operating model design and global policy development to enable a Fenergo implementation at a major wholesale and investment bank. Lysis Group successfully assisted a global investment bank to design and implement a target operating model in preparation for the implementation of Fenergo.
Corporate, Wholesale and Investment Banking
Target Operating Model
A major wholesale and investment bank.
Programme management, target operating model design and global policy development to enable a Fenergo implementation at a major wholesale and investment bank. Lysis Group successfully assisted a global investment bank to design and implement a target operating model in preparation for the implementation of Fenergo.
This included:
• Organisation and operating model design
• Headcount modelling across global operations including - Front office support, Compliance resources, On-shore CLM and KYC resources, Off-shore resourcing
• Streamlining their AML/KYC policy implementation into Fenergo:
• Consolidating three separate regional policies (Americas, Europe, and Asia) into one global policy.
• Ensuring compliance with global regulatory standards while accommodating regional variations.
• Optimizing policy integration into Fenergo, allowing seamless automation and operational efficiency.

One of the largest US-based Tech commercial banks needed to build out their offshore capabilities in support of their London operation. This included candidate selection, AML/KYC training, coaching on early cases and then QA of their work. This produced a team of fully trained KYC analysts and a newly established offshore capability.

A crypto asset business, a subsidiary of a US Nasdaq-listed company requested assistance with the process to obtain FCA registration. Lysis provided the client with a highly experienced MLRO and compliance team who worked with senior management to implement required controls and processes. The client was successful in obtaining FCA registration.

Our client had been advised that their AML provisions were not up to the required standard and wished to remedy this before regulatory sanctions were imposed.