Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design AI-powered solutions and enhance data capabilities in a collaborative team.
- Company: Leading financial services firm with a supportive and inclusive culture.
- Benefits: Excellent benefits, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on innovative projects that make a real impact.
- Qualifications: Degree in a relevant field and strong problem-solving skills required.
- Other info: Great career advancement opportunities in a fast-paced environment.
The predicted salary is between 55000 - 70000 £ per year.
A leading financial services firm is seeking a Senior Full-Stack Engineer to join its Finance Hub team in Manchester. This role requires expertise in both front-end and back-end development, strong problem-solving abilities, and experience with large datasets.
Responsibilities include:
- Designing regulatory AI-powered solutions
- Collaborating across teams to enhance enterprise data capabilities
The ideal candidate will have a relevant degree and skills in logical reasoning and algorithmic problem solving, all bolstered by a supportive and inclusive work environment with excellent benefits.
Senior Full-Stack Engineer: AI/Data Platforms in Manchester employer: BNY Mellon
Contact Detail:
BNY Mellon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Engineer: AI/Data Platforms in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and large datasets. This is your chance to shine and demonstrate your problem-solving prowess.
✨Tip Number 3
Prepare for interviews by brushing up on algorithmic problem-solving. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle real-world problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Full-Stack Engineer: AI/Data Platforms in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in both front-end and back-end development. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in AI and data platforms!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your problem-solving abilities can contribute to our Finance Hub team. Let us know what makes you tick!
Showcase Relevant Projects: If you've worked on projects involving large datasets or regulatory solutions, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your impact.
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 – just a few clicks and you’re done!
How to prepare for a job interview at BNY Mellon
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your front-end and back-end skills, especially those related to AI and data platforms. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Problem-Solving Skills
Prepare to tackle some algorithmic challenges during the interview. Practice logical reasoning problems and be ready to explain your thought process clearly. This will demonstrate your strong problem-solving abilities, which are crucial for the role.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services industry, particularly how AI is being integrated into regulatory solutions. Showing that you understand the context of your work can set you apart from other candidates and show your genuine interest in the role.
✨Emphasise Collaboration
Since the role involves working across teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to enhance data capabilities or solve complex problems, highlighting your ability to thrive in a supportive and inclusive workplace.