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- Tasks: Test and improve FinTech products using AI tools in a collaborative environment.
- Company: Dynamic FinTech SME focused on innovation and modernisation.
- Benefits: Flexible hybrid working, direct access to senior stakeholders, and skill enhancement.
- Why this job: Join a forward-thinking team and elevate your AI expertise while making an impact.
- Qualifications: 3+ years in QA Engineering and experience with AI tools and programming languages.
- Other info: Exciting opportunity for career growth in a tech-driven environment.
The predicted salary is between 45000 - 55000 £ per year.
Our client, a FinTech SME, is seeking a QA Engineer with experience using AI tooling to contribute to the continued improvement and modernisation of their product and IT infrastructure. You’ll be working closely with Senior IT, Product Managers, and Developers in a cross‑functional position to test reliability, consistency and efficiency. This will be enhanced through the use of AI tools which are essential to the company's new and forward‑thinking technology stack.
The successful candidate will benefit from:
- Working directly with senior stakeholders
- Using modern tech and improving AI skillset
- Flexible, hybrid working (2 days max req.)
Requirements:
- 3+ years experience in QA Engineering
- Knowledge and use of AI tools such as Claude code, Juna, Cursor, Cortex etc.
- Strong experience with programming languages such as Java, Kotlin
QA Engineer with AI - FinTech employer: Thomson Keene
Contact Detail:
Thomson Keene Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer with AI - FinTech
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with AI tools. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your QA projects and any AI tooling you've used. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI tools relevant to the role. Be ready to discuss how you've used them in past projects and how they can improve product reliability and efficiency.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace QA Engineer with AI - FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in QA Engineering and any AI tools you've used. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position and our company.
Showcase Your Technical Skills: Since this role involves programming languages like Java and Kotlin, make sure to mention any relevant projects or experiences. We’re keen to see how you’ve applied these skills in real-world scenarios, especially with AI tooling.
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’s super easy and straightforward!
How to prepare for a job interview at Thomson Keene
✨Know Your AI Tools
Make sure you brush up on the AI tools mentioned in the job description, like Claude code and Juna. Be ready to discuss how you've used these tools in your previous roles and how they can enhance QA processes.
✨Showcase Your Programming Skills
Since strong experience with programming languages like Java and Kotlin is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand.
✨Understand the FinTech Landscape
Familiarise yourself with the FinTech industry and its trends. Being able to discuss how QA plays a role in financial technology will show that you're not just a techie but also understand the business context.
✨Prepare for Cross-Functional Collaboration
As you'll be working closely with Senior IT, Product Managers, and Developers, think of examples from your past experiences where you've successfully collaborated across teams. Highlight your communication skills and adaptability.