Financial Software Engineer Engineer

Experis; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Experis in London is seeking a Financial Engineering Specialist to join a leading global bank's Analytics, Digital & Architecture team. You will help design, build and deploy sophisticated models and analytics capabilities to empower strategic decision-making across Global Finance.

You’ll work at the intersection of software engineering, data analytics and financial modelling, leveraging Python, containers and cloud tech to deliver scalable, production-ready solutions across the organisation.

Qualifications

• Extensive Python experience including APIs and microservices.
• Experience with Docker and Kubernetes.
• Experience with large-scale data processing.
• Familiarity with Google Cloud Platform (GCP).
• Experience with C++ is advantageous.
• Knowledge of the software engineering lifecycle.

Responsibilities

• Partner with modelling teams to translate complex financial models into robust software solutions.
• Build and maintain production-grade models with CI/CD, automated tests and stable deployments.
• Develop analytics libraries and Python applications, APIs and microservices.
• Leverage Docker, Kubernetes and cloud tech to ensure scalable deployment.
• Automate development workflows to reduce manual effort and risk.
• Collaborate with stakeholders across business, IT and data science.
• Provide BAU support and testing during model deliveries.

Skills

Python

Docker

Kubernetes

Data processing

Cloud (GCP)

C++

Software engineering

APIs & microservices

Tools

CI/CD

Job description

Location: London Job Type: Contract Industry: Finance Job reference: BBBH448374_1793368395 Posted: 4 minutes ago

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.

Financial Software Engineer Engineer London