At a Glance
- Tasks: Lead the development of an AI-native FX Options trading platform and shape its architecture.
- Company: Join Rocketfin, a cutting-edge financial tech company at the forefront of AI innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on reliability and precision.
- Why this job: Make a real impact in finance by building innovative AI-powered products.
- Qualifications: Experience in full-stack development and leadership skills in engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
We're looking for an Engineering Lead to own the technical execution of our FX Options Platform — a fast‑moving, AI‑native trading system where frontend, middleware, and intelligent agents all converge. This is a hands‑on leadership role: you'll be writing production code, shaping architecture, and setting the bar for how we build AI‑powered financial products at Rocketfin.
WHAT YOU'LL DO
- Lead engineering execution end‑to‑end — from scoping and architecture through to shipping production‑grade systems at pace.
- Build AI‑native product experiences — designing UX and systems that put Claude and LLMs at the core, not the periphery.
- Architect middleware and orchestration layers — the connective tissue that links frontend, AI systems, and financial data flows.
- Work hands‑on with agents and AI workflows — building, iterating, and owning agentic systems in production.
- Move fast and ship high‑quality systems — balancing speed with craft in a trading environment where reliability and precision matter.
WHAT WE'RE LOOKING FOR
- You're genuinely AI‑forward — not just someone who uses LLMs as a feature, but someone who thinks in agent workflows, orchestration patterns, and AI‑native UX.
- You operate comfortably across the full stack and take pride in systems that are both fast and well‑crafted.
- You've led engineers (or are ready to), and you bring clarity and momentum to a team.
NICE TO HAVE
- Agentic systems — experience building and running agents in production.
- MCP ecosystems — familiarity with Model Context Protocol tooling.
- Frontend design systems — component libraries and design systems at scale.
- Financial products / trading / FX — options, FX, or trading platform experience.
Engineering Lead - FX Options Platform New London Liverpool Street, EC2M 4TP employer: RocketFin Inc
At Rocketfin, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through hands-on leadership opportunities and a focus on cutting-edge AI technology, ensuring that our team members are at the forefront of financial product development. With a fast-paced environment that values both speed and precision, we provide a unique platform for engineers to thrive and make a meaningful impact in the world of trading.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Lead - FX Options Platform New London Liverpool Street, EC2M 4TP
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and trading systems. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. Think about how you’d lead a team in building AI-native products and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Rocketfin.
We think you need these skills to ace Engineering Lead - FX Options Platform New London Liverpool Street, EC2M 4TP
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Lead role. Highlight your hands-on coding experience, leadership in engineering projects, and any work with AI systems to show us you’re the right fit.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about the FX Options Platform. Share specific examples of how you've led teams or built AI-native products, and let your personality shine through!
Showcase Your Technical Skills:In your application, don’t shy away from detailing your technical expertise. Whether it’s your experience with middleware, orchestration layers, or agent workflows, we want to see how you can contribute to our fast-paced environment.
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 RocketFin Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tech stack and methodologies relevant to the FX Options Platform. Brush up on AI workflows, middleware architecture, and how they integrate with frontend systems. Being able to discuss these topics confidently will show that you're not just a user but a true expert.
✨Showcase Your Leadership Skills
Prepare examples of how you've led engineering teams in the past. Highlight your ability to bring clarity and momentum to projects. Discuss specific instances where you’ve shaped architecture or improved processes, as this role demands hands-on leadership.
✨Demonstrate Your AI Knowledge
Since the role is AI-native, be ready to discuss your experience with AI systems and agent workflows. Share insights on how you’ve designed UX around AI and how you envision integrating LLMs into financial products. This will set you apart as someone who thinks beyond just using AI as a feature.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview. Practice coding problems related to system architecture and AI integration. Being able to solve these on the spot will demonstrate your hands-on capability and readiness to ship high-quality systems quickly.
