Python Developer

About us

Finalto is a global provider of liquidity and trading technology solutions

, serving institutional and B2B clients across global financial markets.

With regulated entities in the

UK, Singapore, Cyprus, Australia, and the UAE

, Finalto combines global reach with deep expertise in financial markets and trading infrastructure.

Our technology powers multi-asset liquidity, trading platforms, and data-driven decision systems used by financial institutions and professional trading firms around the world.

At Finalto, we combine the scale and stability of an established financial services organisation with the innovation and engineering culture of a fintech company

. Our teams build reliable, high-performance systems that support real-time trading operations and critical financial infrastructure.

We are currently expanding our

London team and looking for a

Python Developer to help strengthen our internal reporting and monitoring platforms used by trading and operations teams.

Role overview

This role focuses on improving and scaling our internal reporting and monitoring infrastructure used by trading and liquidity teams.

The current platform runs on

Celery workers and a web application deployed on internal servers

, but parts of the environment require stabilisation and standardisation.

You will play a key role in stabilising the platform, improving developer workflows, and building dashboards and monitoring tools that provide real-time visibility into trading operations.

This is a hands-on engineering role with real ownership

, where you will work closely with trading stakeholders to automate operational processes and improve reliability across internal systems.

Responsibilities

• Stabilise and standardise the Python runtime and service environment.
• Migrate the platform to uv to ensure reproducible dependencies and environments.
• Improve reliability of

Celery-based reporting workflows

(scheduling, retries, monitoring).

• Develop templates and workflows that simplify publishing new reports.
• Build and maintain internal dashboards used by trading and operations teams.
• Implement real-time updates using WebSockets and asynchronous patterns where required.
• Develop monitoring tools and evaluation environments for key systems and performance metrics.
• Collaborate directly with trading stakeholders to automate operational workflows.
• Improve observability, deployment processes, and overall platform reliability.
• Integrate

AI-assisted development tools and agents where appropriate to improve development efficiency.

What we expect from you

• Strong experience in

Python development in production environments

• Experience with async programming (asyncio)

and concurrency

• Familiarity with

Celery or distributed task processing systems

• Experience with

WebSockets or real-time systems

• Familiarity with

Flask

(experience with

Quart is a plus)

• Experience with

Pydantic for data validation and modelling

• Solid understanding of databases and data access patterns
• Professional experience with

Git-based development workflows

• Strong problem-solving and debugging skills
• Ability to collaborate effectively with both technical teams and business stakeholders

Preferred skills

• Experience with uv or modern Python environment management tools
• Familiarity with gRPC, HTTP streaming, or message queue systems
• DevOps experience (CI/CD pipelines, logging, metrics, service monitoring)
• Experience building internal tools, dashboards, or operational systems
• Exposure to trading, fintech, or financial markets environments
• Public

GitHub projects or technical portfolio

If you are a practical Python engineer who enjoys improving complex systems and building tools that people depend on, we would be glad to hear from you.

Apply now to join our London team!