At a Glance
- Tasks: Build AI platforms and collaborate on innovative financial solutions.
- Company: Datatech Analytics, a leader in AI for banking and finance.
- Benefits: Hybrid work model, competitive salary, and career advancement opportunities.
- Other info: Open to all levels, from Engineer to Senior Manager.
- Why this job: Join a dynamic team and shape the future of financial services with AI.
- Qualifications: Strong engineering background and experience in financial services required.
The predicted salary is between 50000 - 70000 € per year.
Datatech Analytics is seeking AI Engineers and Technical AI Leaders in Manchester for hybrid roles focused on AI solutions across banking and financial services. You will build AI-enabled platforms, work with LLMs, and collaborate across multiple teams to deliver robust AI deployments.
Candidates should have:
- Strong engineering foundations
- Experience in financial services
- Good communication skills
The role is open to various levels from Engineer to Senior Manager.
AI Engineer - Financial Services & Banking (Hybrid) employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Manchester. With a strong focus on employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving field of AI in financial services. Our hybrid work model ensures flexibility while being part of a forward-thinking team dedicated to delivering impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Services & Banking (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with various teams.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer - Financial Services & Banking (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and financial services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in banking and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills:Since collaboration is key in this role, make sure to demonstrate your communication skills in your application. Whether it’s through clear language in your CV or examples in your cover letter, we want to know you can convey complex ideas simply.
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!
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those relevant to financial services. Be ready to discuss your experience with LLMs and how you've applied them in previous roles. This will show that you're not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Engineering Skills
Since strong engineering foundations are crucial for this role, prepare to talk about specific projects where you've built AI-enabled platforms. Highlight your problem-solving skills and any technical challenges you overcame. This will demonstrate your capability to deliver robust AI deployments.
✨Communicate Clearly
Good communication skills are a must, especially when collaborating across teams. Practice explaining complex AI concepts in simple terms. You might be asked to present your ideas or solutions, so being clear and concise will help you stand out.
✨Research Datatech Analytics
Before the interview, take some time to learn about Datatech Analytics and their work in the banking and financial services sector. Understanding their mission and recent projects will allow you to tailor your responses and show genuine interest in the company.
