Financial Engineering Specialist

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

The opportunity

A leading global bank’s Global Treasury is seeking a Financial Engineering Specialist to join its Analytics, Digital & Architecture (ADA) team—a global Centre of Excellence shaping the future of financial analytics, engineering and innovation within Global Finance.

You’ll work at the intersection of software engineering, data analytics and financial modelling, helping to design, build and deploy sophisticated models and analytics capabilities that empower strategic decision-making across the organisation.

What you’ll do

• Partner closely with modelling teams to understand complex financial models in detail and translate them into robust, scalable software solutions.
• Build and maintain efficient, production-grade models using software engineering best practices, including CI/CD pipelines, automated testing and stable deployment processes.
• Develop analytics libraries and applications in Python, including APIs and microservices, to support global finance use cases.
• Leverage Docker, Kubernetes and cloud technologies (GCP preferred) to ensure models are deployable, observable and performant at scale.
• Automate and streamline development workflows, reducing manual effort and operational risk across the model lifecycle.
• Collaborate with stakeholders across business, IT and data science to translate requirements into technical solutions aligned with business goals.
• Provide BAU support and testing throughout model deliveries, troubleshooting technical challenges and ensuring models remain fit for purpose.

What you’ll bring

• Software Engineering: Designing, developing and deploying analytics libraries and applications with a strong grasp of the software development lifecycle.
• Python: Extensive experience, including web development frameworks, APIs and microservice architectures.
• Containerisation & Orchestration: Proficiency with Docker and Kubernetes.
• Data Processing: Experience with large-scale data processing technologies.
• Cloud: Familiarity with cloud platforms, ideally Google Cloud Platform (GCP).
• Compiled Languages: Familiarity with a language such as C++ is advantageous.

Data & analytics

• Strong skills in data manipulation and analysis, with the ability to turn complex datasets into actionable insights.

Problem-solving & communication

• Proven ability to identify technical challenges, troubleshoot issues and develop effective solutions.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Self-starter who can work independently, manage time effectively and meet deadlines in a fast-paced environment.

Nice to have

• Understanding of financial markets and products.
• Experience with automation tools and additional scripting languages.
• Work on high-impact, global finance initiatives with a varied and innovative book of work.
• Be part of a globally diverse team driving best practices in model governance, architecture and analytics.
• Access to cutting-edge cloud and data platforms, including GCP-based pipelines used for counterparty credit risk and valuation analytics at scale.
• Opportunity to shape the technical and business architecture alongside IT and finance leaders.