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- Tasks: Develop innovative AI solutions to automate banking operations and enhance user experience.
- Company: Prestigious financial firm in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, dynamic team environment, and opportunities for professional growth.
- Why this job: Join a leading firm and make a real impact in the future of financial automation.
- Qualifications: Strong AI research experience and a PhD in a relevant field.
- Other info: Collaborate with stakeholders and improve AI applications based on real user feedback.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial firm in London is seeking an Applied AI ML Researcher Senior Associate to contribute to innovative AI solutions for banking. The ideal candidate will have strong AI research experience and a PhD education.
Responsibilities include:
- Developing solutions to automate operations
- Collaborating with stakeholders
- Improving AI applications based on user feedback
This role offers an opportunity to work in a dynamic team within a prestigious financial institution.
Senior Applied AI/ML Researcher — GenAI for Financial Automation employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI/ML Researcher — GenAI for Financial Automation
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects in AI and financial automation. Be ready to discuss how your PhD research can directly contribute to their goals and improve their operations.
✨Tip Number 3
Showcase your work! Create a portfolio of your AI projects, especially those related to financial applications. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Applied AI/ML Researcher — GenAI for Financial Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI research experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how you can contribute to our innovative solutions. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with various stakeholders, highlight any past experiences where you’ve successfully collaborated on projects. We’re looking for team players who can communicate effectively and drive results together!
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 hackajob
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and breakthroughs in AI and ML, especially those relevant to financial automation. Be prepared to discuss your previous research and how it can apply to the role.
✨Showcase Your Collaboration Skills
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated in the past. Highlight how you communicated complex AI concepts to non-technical team members.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Review key algorithms, frameworks, and tools that are commonly used in AI research, and be ready to explain your thought process when solving problems.
✨Feedback is Key
Discuss how you've used user feedback to improve AI applications in your previous roles. This shows that you value iterative development and are committed to creating effective solutions that meet user needs.
