At a Glance
- Tasks: Develop scalable backend applications and enhance risk technology using Python.
- Company: Global financial services organisation focused on tech and data.
- Benefits: Competitive salary, comprehensive benefits, and a supportive work environment.
- Other info: Opportunities for learning, career progression, and exposure to modern technologies.
- Why this job: Join a collaborative team and work on impactful, cutting-edge projects.
- Qualifications: Strong Python skills and experience with data processing libraries required.
The predicted salary is between 60000 - 80000 £ per year.
A global financial services organisation with a strong focus on technology, data, and market infrastructure.
The business invests heavily in modern engineering practices and develops mission-critical platforms that support trading, risk management, and operational processes across international markets.
Role
As a Python Developer, you will join a high-performing engineering team responsible for building and enhancing enterprise risk technology.
You'll develop scalable backend applications, improve data processing capabilities, and help evolve core risk systems that support business-critical decision-making.
Working closely with engineers, product stakeholders, and infrastructure teams, you will contribute to platform modernisation, process automation, and the integration of data across multiple systems.
You\'ll also have the opportunity to leverage modern AI-assisted development tools to improve engineering productivity and software quality.
Responsibilities
- Develop and enhance strategic risk and data processing applications using Python.
- Design and maintain scalable services supporting complex calculations and large datasets.
- Integrate data across multiple internal platforms and improve data consistency.
- Build automation to streamline engineering and operational workflows.
- Collaborate with engineering, infrastructure, QA, and security teams throughout the software lifecycle.
- Contribute to documentation, technical standards, and continuous platform improvements.
- Stay current with emerging technologies and engineering best practices.
- Key Skills
- Strong Python software engineering experience, particularly with data-intensive or computational applications.
- Experience with data processing libraries such as Pandas, Num Py, Polars, Py Spark, or asynchronous Python.
- Knowledge of modern software packaging and deployment tools including Docker and related Python tooling.
- Experience working with relational and/or No SQL databases.
- Exposure to cloud platforms and distributed application development, particularly AWS services.
- Familiarity with logging, monitoring, and observability tooling.
- Experience with automated testing and modern software development practices.
- Comfortable working within Agile development environments.
- Strong communication skills and collaborative approach to problem-solving.
- Desirable: Experience with C#, Type Script, React, or financial services technology.
- Opportunity to work on large-scale, business-critical technology platforms.
- Exposure to modern cloud technologies, data engineering, and AI-assisted software development.
- Collaborative engineering culture with strong opportunities for learning and career progression.
- Work on technically challenging projects with real business impact.
- Competitive salary and comprehensive benefits package.
- Supportive environment that encourages innovation, continuous improvement, and technical excellence.
- #J-18808-Ljbffr
Python Developer | Risk Technology | Financial Services |TWE46251 in London employer: twentyAI
At twentyAI, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through our focus on professional development, particularly for newly qualified accountants eager to enhance their skills in a cutting-edge environment centred around AI and finance transformation. Located in a vibrant area, we offer unique opportunities to engage in meaningful projects that not only advance your career but also contribute to the evolution of finance processes.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer | Risk Technology | Financial Services |TWE46251 in London
✨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 twentyAI 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 twentyAI.
✨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 twentyAI.
✨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 twentyAI 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 Python Developer | Risk Technology | Financial Services |TWE46251 in London
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 twentyAI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at twentyAI 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 twentyAI
✨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 twentyAI 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.
