Manager | AI / ML | Bengaluru | Regulatory & Financial Risk

Manager | Regulatory, Risk & Forensic Regulatory and Financial Risk | AI / ML Location: Bangalore The Team Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats. Learn more about Risk, Regulatory & Forensic ) Your work profile Python AI ML Full Stack Development: Proficient in Python, with strong understanding of object-oriented programming, design patterns, and clean coding practices. Hands-on experience with Django and/or FastAPI for backend development and REST API design. Strong experience in frontend development using React.js, including component-based architecture and state management. Proficient in JavaScript (ES6+), HTML5, and CSS3 for building responsive user interfaces. Experience working with multi-module, package-based applications and scalable project structures. Strong knowledge of API integration, authentication, and authorization mechanisms. Experience with unit testing using frameworks such as pytest or unittest. Proficient in managing virtual environments using tools like venv, conda, or pyenv. Hands-on experience with modern IDEs such as VS Code or PyCharm, and familiarity with AI-assisted tools like GitHub Copilot or Cursor Databases & Data Handling: Strong experience withrelational databasessuch asPostgreSQL or MySQL. Proficient in writingoptimized SQL queriesand handling data migrations Familiarity with ORM tools such asDjango ORM or SQLAlchemy. Proficient in managing virtual environments using tools like venv, conda, or pyenv. Hands-on experience with modern IDEs such as VS Code or PyCharm, and familiarity with AI-assisted tools like GitHub Copilot or Cursor Key skills required: In order to be considered for the role, your competencies will cover the broad scope of business modelling services, leveraging your professional background and skills such as: Bachelor's/masters in related fields Good to Have: 6+ years of hands-on experience withDockerfor containerization. Exposure toKubernetesfor orchestration. Experience withCI/CD pipelinesusingJenkins. Familiarity withInfrastructure as Codetools such asTerraform. Exposure to cloud platforms like AWS, Azure, or GCP