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 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:
• Bachelors/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