At a Glance
- Tasks: Design and build scalable backend systems using Python for AI-driven financial solutions.
- Company: High-impact consultancy focused on transforming credit risk analysis with AI.
- Benefits: Competitive contract rate, hybrid work model, and exposure to cutting-edge technologies.
- Other info: Collaborative culture with opportunities for professional growth in AI technologies.
- Why this job: Join a dynamic team and make an immediate impact on strategic projects in finance.
- Qualifications: Strong Python skills, experience with FastAPI, and knowledge of software design principles.
The predicted salary is between 60000 - 80000 € per year.
Location: London (Hybrid)
Contract: Initial term until end of year
Client: Consultancy
Overview
We are seeking an experienced Senior Python Software Engineer to join a high-impact consultancy engagement. This is a hands-on, individual contributor role focused on designing and building scalable backend systems that power cutting-edge AI and machine learning solutions within credit risk. You will play a key role in a newly formed AI-focused team, working at the intersection of advanced analytics, financial risk, and modern software engineering.
The Role
As a Senior Engineer, you will architect, develop, and deploy robust backend systems that automate complex analysis across data, codebases, documentation, and workflow tools. A core focus will be structuring this information into a domain-aware knowledge graph to support Credit Risk decision-making. You’ll work closely with cross-functional teams to deliver production-grade solutions that are scalable, maintainable, and aligned with enterprise standards.
Team & Project Context
You’ll be embedded within the Credit Risk Technology function, specifically the Optima AI team, which is focused on transforming Counterparty Credit Risk (CCR) analysis through AI. The broader team develops systems that process large-scale financial datasets—covering trades, collateral, and market data—to calculate key risk metrics such as:
- Pre-Settlement Risk (PSE)
- Exposure at Default (EAD)
- Risk Weighted Assets (RWA)
This role contributes to optimising exposure impact analysis using AI-driven approaches.
Key Responsibilities
- Design and build scalable backend systems using Python and FastAPI
- Contribute to system architecture, design patterns, and engineering best practices
- Develop clean, maintainable, and production-ready code with minimal technical debt
- Implement and manage containerised deployments (e.g. Kubernetes, OpenShift)
- Collaborate across engineering, data, and business teams
- Support CI/CD pipelines and DevOps practices
- Contribute to AI-driven solutions, including knowledge graph development
Required Skills & Experience
- Strong expertise in Python and FastAPI
- Deep understanding of software design principles and architectural patterns
- Proven experience building and running enterprise-grade systems
- Experience across the full software development lifecycle
- Strong background in system design, scalability, and reliability
- Experience with containerisation (Kubernetes, OpenShift, or similar)
- Familiarity with DevOps practices, CI/CD, and Agile methodologies
Desirable:
- Experience with Generative AI, LLM frameworks, or prompt engineering
What’s on Offer
- Opportunity to work on cutting-edge AI initiatives within a global financial environment
- Exposure to complex, high-value risk systems and large-scale data platforms
- Collaborative, forward-thinking engineering culture
- Chance to build expertise in AI-driven financial technologies
- Immediate impact on strategic, business-critical projects
Senior Python Software Engineer in London employer: Remarkable Resourcing
Join a dynamic consultancy in London as a Senior Python Software Engineer, where you'll be at the forefront of AI-driven financial technologies. Our collaborative and innovative work culture fosters professional growth, allowing you to make an immediate impact on high-value projects while working with cutting-edge tools and methodologies. With a focus on employee development and a commitment to excellence, we offer a unique opportunity to shape the future of credit risk analysis in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Software Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI or finance. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just tell them what you can do—show them! Create a portfolio of your projects, especially those involving Python and FastAPI. Share your GitHub link when you apply through our website; it’ll give you an edge over the competition.
✨Ace the Interview
Prepare for technical interviews by brushing up on system design and scalability concepts. Practice coding challenges and be ready to discuss your past experiences with containerisation and CI/CD. Confidence is key, so walk in ready to impress!
✨Follow Up
After your interview, don’t forget to send a thank-you email! It’s a great way to reiterate your interest in the role and remind them why you’re the perfect fit. Plus, it shows you’re proactive and professional—qualities they’ll appreciate.
We think you need these skills to ace Senior Python Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and FastAPI, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and machine learning, and explain how your background in software engineering can contribute to our team’s success.
Showcase Your Projects:If you’ve worked on any interesting projects, especially those involving scalable backend systems or AI, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that highlight your contributions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Remarkable Resourcing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with FastAPI. Be ready to discuss your past projects and how you've used these technologies to build scalable systems. Prepare to answer technical questions that test your understanding of software design principles and architectural patterns.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle real-world problems during the interview. Think about how you would approach designing a backend system for credit risk analysis. Use examples from your experience to demonstrate your ability to develop clean, maintainable code and manage technical debt effectively.
✨Familiarise Yourself with AI and Machine Learning
Since this role involves AI-driven solutions, it’s crucial to understand the basics of AI and machine learning, particularly in the context of financial risk. Brush up on knowledge graphs and be ready to discuss how they can support decision-making in credit risk.
✨Emphasise Collaboration and Communication
This position requires working closely with cross-functional teams, so highlight your experience in collaborative environments. Share examples of how you've successfully communicated complex ideas to non-technical stakeholders and contributed to team projects, especially in Agile settings.
