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Quantitative Developer Intern – Global Market Engineering

BMO
City of London
1 week ago
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Overview


We are offering a hands-on 6 months internship opportunity for a curious and technically minded individual to learn how modern quantitative tools are built and used in a front-office environment. This role is part of a broader effort to identify and nurture future talent who could grow into permanent roles supporting or developing the bank's analytics and trading infrastructure.


You will join the quant team on a learning journey that blends Python engineering, financial analytics, and delivery tooling. You'll be exposed to real-world front office workflows involving Excel/PyxLL, web dashboards, backend APIs , and CI/CD automation, all under close guidance from experienced developers and quants.


This is a learning-first environment designed to give high potential individuals meaningful exposure and help the team assess long-term fit.


What You Will Learn


- How quantitative models and tool are delivered to front-office users.

- Principles of clean software design, version control and testing.


Your Role


- Support the main Quant Developer in building and maintaining analytics tools.

- Contribute to simple tasks in the codebase: wrappers, unit tests, dashboards, automation scripts.

- Take ownership of small prototyping projects with clear goals and feedback loops

- Participate in internal code reviews and technical discussions

- Document what you learn, we value curiosity and clarity over prior experience


Who We're Looking For


- Students or recent graduates in Computer Science, Engineering, Mathematics, or related fields.

- Solid Python fundamentals and interest in applied problem solving.

- Eagerness to learn about finance and real-world software engineering.

- Self-driven, open to feedback, and excited by the idea of building things that matter.

- Interest in Excel automation or dashboard

- Curiosity about trading, pricing models or risk analytics.


What This Internship Offers


- A practical platform to learn, build and contribute.

- Exposure to how modern quant teams operate inside a front-office setting.

- Mentorship from experienced quants and technologists

- A potential entry point into a longer-term role within the bank, depending on fit and business need

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National AI Awards 2025

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