Job Title:  Consultant | Python | Bengaluru | Regulatory & Financial Risk

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full

potential.

The Team

Discover the various Financial Risk services, we offer to help organizations across the full life cycle of financial transaction. From governance and processes to technology and reporting, our services can enhance transparency, efficiency, compliance, and financial integrity.

Work you’ll do

As Consultant in our team, you’ll build and nurture positive working relationships.

with teams and clients with the intention to exceed client expectations:

• Deep understanding of Python development and software engineering best practice: experience designing and optimising Python / C++ code for complex quantitative applications. This should include robust code structure, clear documentation, and best practices (e.g., linting, type hinting, CI/CD).
• Model development from scratch: hands-on experience building quantitative or numerical models end-to-end in Python / C++, including prototyping, performance tuning (CPU/memory), and thorough testing.
• Cloud and container deployment: solid track record deploying production-grade Python / C++ applications on cloud platforms, using container orchestration (e.g. Kubernetes) and job orchestration frameworks (e.g. Airflow, Flowren).
• Software engineering workflow: comfortable collaborating via Git-based workflows, code review processes, and ticketing systems (e.g., JIRA), with a focus on maintainability and scalability.
• Automated testing: strong background in writing and maintaining test suites (e.g., Pytest for Python) to ensure reliability and facilitate continuous integration.   
• Preferred:
• Quantitative background: degree in Physics, Mathematics, Engineering, or a related field, with exposure to modelling and numerical methods.
• Financial modelling: experience developing credit models or other quantitative finance models, ideally within a regulatory context.
• Technical leadership: proven ability to lead and mentor development teams, review complex pull requests, and champion best practices in both performance optimization and code quality.

How you’ll grow

At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing

business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.