AI-Driven Software Engineer for Financial Modelling in England

AI-Driven Software Engineer for Financial Modelling in England

England Full-Time 59400 - 72600 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop cutting-edge AI software for financial modelling and own features end-to-end.
  • Company: Ambitious AI startup reinventing financial decision-making tools.
  • Benefits: Relocation support, competitive salary, and opportunity for technical leadership.
  • Other info: Dynamic environment with significant career growth and influence on product direction.
  • Why this job: Join a small elite team and make a real impact in AI-driven finance.
  • Qualifications: Exceptional problem-solving skills and experience with modern AI tools.

The predicted salary is between 59400 - 72600 £ per year.

Do you have a track record of building exceptional software and want to work on a genuinely ambitious AI product? Are you excited by high ownership, cutting-edge AI tooling, deep technical challenges, and the opportunity to become a technical leader within a small, elite engineering team?

I’m excited to be working with a very ambitious AI startup reinventing how businesses make some of their biggest decisions. They’re starting by building the best AI add-in for complex financial modelling in Excel – essentially Cursor for financial modelling. Financial models sit underneath huge decisions across M&A, private equity, investment, corporate strategy and consulting, yet the tooling behind them remains incredibly manual and outdated. They’re building something fundamentally different.

Long-term, their ambition is to create an AI operating system for the entire strategic decision lifecycle – spanning Excel, PowerPoint, email and meetings. They’re tackling a potentially enormous new category at the intersection of AI, software engineering and financial decision-making. They’re now looking for exceptional Software Engineers to join a small, extremely high-calibre engineering team and help build the product from the ground up.

You’ll work directly on:

  • Owning features end-to-end – from Rust services and backend infrastructure through to the frontend
  • Using the latest AI tools and models to ship high-quality software at exceptional speed
  • Building and improving AI agents, including their harness, tools and context optimisation
  • Writing highly performant software – removing allocations, optimising queries and caching aggressively
  • Owning and improving backend infrastructure and CI pipelines
  • Debugging low-level issues and continuously optimising system performance
  • Working closely with design to ensure every feature feels polished, beautiful and consistent
  • Taking increasing technical ownership as the company and product scale

They’re particularly interested in engineers who have:

  • Evidence of being a top-centile engineer
  • Exceptional problem-solving ability and strong software engineering fundamentals
  • High agency, determination and a genuine desire to take ownership
  • The ability to move quickly, learn new technologies and wear multiple hats
  • A strong interest in AI and experience using modern AI coding tools effectively
  • The ability to work across the stack rather than being restricted to one area
  • A genuine passion for building great products, not simply writing code
  • Rust (but they are open to any low-level language e.g. C++)
  • TypeScript
  • React
  • AI / LLM tooling
  • Backend infrastructure & DevOps
  • Competitive programming experience e.g. Olympiads or Programming Contests
  • Trading or financial technology background
  • Experience building AI agents

What they’re looking for:

  • High agency – you see a problem and take ownership of solving it
  • Technical excellence – you care about performance, architecture and writing exceptional software
  • AI-native mindset – you understand that AI is now an essential part of the engineering workflow
  • Speed + quality – you can leverage AI to move incredibly quickly without becoming a “vibe coder”
  • Curiosity – you enjoy getting into unfamiliar areas and figuring things out
  • Product mindset – you care about how the software feels, not just whether it works
  • Leadership potential – over time, you’ll have the opportunity to own significant parts of the product

Join a small, exceptionally strong engineering team with backgrounds including Cambridge and UCL, Jane Street and Bloomberg. Work on a genuinely ambitious AI product tackling a huge, under-served problem. Own features across the entire stack rather than being confined to one area. Work at the cutting edge of AI-native software development. Have significant influence over the technical direction and product. Opportunity to become a technical leader and own major parts of the product as the company scales. Build something from the ground up in a highly ambitious environment. Work closely with an exceptional designer and engineering team to create a product that is both technically excellent and beautiful.

If you’re an exceptional engineer who wants to work at the intersection of AI, financial modelling and high-performance software, with the opportunity to have genuine ownership and impact from day one, this is a seriously exciting opportunity.

AI-Driven Software Engineer for Financial Modelling in England employer: Understanding Recruitment

As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.

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Contact Details:

Understanding Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Driven Software Engineer for Financial Modelling in England

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Understanding Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Understanding Recruitment.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Understanding Recruitment.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Understanding Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI-Driven Software Engineer for Financial Modelling in England

Rust
TypeScript
React
AI / LLM tooling
Backend infrastructure
DevOps
Problem-Solving Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Understanding Recruitment.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Understanding Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Understanding Recruitment

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Understanding Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.