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The role involves troubleshooting, analysis, and communication within Risk Operations. Responsibilities include improving monitoring and application stability, leading a small offshore team, and managing incidents. Candidates should be strong in SQL, have familiarity with scheduling software, and possess experience in production support, scripting, and Unix environments.

As an ML Ops Engineer, you'll develop, deploy, and maintain the infrastructure for Machine Learning to support Data Science and Machine Learning Teams, focusing on automating modeling processes and managing the full ML lifecycle.

The Senior Consultant (Treasury) will assist clients in mitigating financial risks related to treasury and financial management, perform balance sheet management, and improve treasury management systems. Responsibilities include risk assessment, project management, advanced data analysis using Excel and Python, and client engagement.