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- 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.
- Other info: Great career advancement opportunities in a fast-paced environment.
- 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.
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 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
✨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 data platforms. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and algorithm questions to impress the hiring team with your logical reasoning.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining our awesome team.
We think you need these skills to ace Senior Full-Stack Engineer: AI/Data Platforms
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 excites you about working with large datasets.
Showcase Relevant Projects: If you've worked on any projects that involve regulatory AI-powered solutions or enterprise data capabilities, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 follow the prompts and let us know you’re interested!
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 your experience with large datasets will show that you’re ready for the challenges of the role.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your logical reasoning and algorithmic problem-solving abilities, which are crucial for this position.
✨Collaborate and Communicate
Since the role involves working across teams, be ready to talk about your collaboration experiences. Highlight how you’ve worked with others to enhance data capabilities or develop solutions. Good communication skills can set you apart, so don’t shy away from sharing your approach to teamwork.
✨Understand the Company Culture
Research the firm’s values and work environment. Since they emphasise a supportive and inclusive culture, think about how your personal values align with theirs. Be prepared to discuss why you’d thrive in such an environment and how you can contribute positively to their team dynamics.