Financial Analytics Engineer - Python, Cloud & Scale

Undisclosed; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Undisclosed in London is seeking a Financial Engineering Specialist to design, build and deploy sophisticated analytics and models at scale. The role sits at the intersection of software engineering, data analytics and financial modelling, contributing to strategic decision-making across Global Finance.

You will work with Python-based libraries, APIs and microservices, using Docker, Kubernetes and GCP to ensure scalable, observable deployments.

Qualifications

• Experience designing and deploying analytics libraries and applications.
• Strong Python development including APIs and microservices.
• Familiarity with Docker and Kubernetes.
• Experience with large-scale data processing and cloud platforms (GCP preferred).

Responsibilities

• Translate complex financial models into robust software solutions.
• Build production-grade models with CI/CD and testing pipelines.
• Develop analytics libraries and Python APIs/microservices.
• Leverage Docker, Kubernetes and cloud tech to deploy models at scale.
• Automate development workflows to reduce manual effort and risk.
• Collaborate with business, IT and data science stakeholders.
• Provide BAU support and testing through model deliveries.

Skills

Python

Software engineering

CI/CD pipelines

API & microservices

Docker & Kubernetes

Cloud platforms

Tools

Docker

Kubernetes

GCP

Job description

Undisclosed in London is seeking a Financial Engineering Specialist to design, build and deploy sophisticated analytics and models at scale. The role sits at the intersection of software engineering, data analytics and financial modelling, contributing to strategic decision-making across Global Finance.

You will work with Python-based libraries, APIs and microservices, using Docker, Kubernetes and GCP to ensure scalable, observable deployments.