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 with relational databases such as PostgreSQL or MySQL.


• Proficient in writing optimized SQL queries and handling data migrations


• Familiarity with ORM tools such as Django 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/master’s in related fields


• Good to Have:


• 6+ years of hands-on experience with Docker for containerization.


• Exposure to Kubernetes for orchestration.


• Experience with CI/CD pipelines using Jenkins.


• Familiarity with Infrastructure as Code tools such as Terraform.


• Exposure to cloud platforms like AWS, Azure, or GCP