IT Chapter Lead for Data Science Platform

In Data Science Platform Squad, we build and maintain a generic, scalable, and governed platform for data science model execution of online models to enable an automated, compliant, and efficient Model Life Cycle process. We use technologies like Open-Shift to build a containerized platform for hosting model execution and deployment.

Our squad is responsible for:

1. Hosting Python statistical and machine learning models. The solution is primarily serving the data science communities that develop the models on behalf of the many enterprise domains in the bank.
2. AAPF is a platform, in conjunction with CMDEP, designed to execute machine learning models to score payment transactions for fraud. Payment transactions include e-banking domestic, international, and district international models deployed in CMDEP.
3. Maintain and support package management with the tool Anaconda.
4. FICO Blaze, which is a Decision Rule Engine management system encompassing decision modeling, decision service design, authoring, testing simulation, deployment, and maintenance
   Shaping the current on-premises infrastructure into a cloud-native platform.
5. As Chapter Lead, you are an innovative and motivated leader who blends deep domain expertise with a passion for coaching and developing others. You serve as a “player and coach,” spending approximately 30% of your time managing your chapter and the remaining 70% of your time as a doer in a squad, delivering value by completing work.

You will:

1. Lead the engineering team and contribute to deliveries
2. Be responsible for the implementation and maintenance of the ML platform
3. Communicate with product owners, data scientists, quantitative analysts, and technical folks to provide solutions for data science and the ML platform
4. Facilitate IT problem management and documentation tasks to ensure the high availability and resilience of our systems
5. Engage with stakeholders in the business areas to define infrastructure requirements and roadmaps for our systems
6. Capture and organize requirements into stories; explain them to development and the quantitative team
7. Have a customer- and end-user-focused approach to any solution design