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For Companies At a Glance
- Tasks: Develop AI solutions and workflows for financial services using cutting-edge technologies.
- Company: Leading Point, a specialist in Data Management and AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial services sector with AI.
- Qualifications: Experience in pattern recognition, neural networks, and NLP; 5 years in financial services.
- Other info: Flexible work environment with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Company Description
Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE/VC.
Role Description
This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions – responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis.
Qualifications
- Pattern Recognition and Neural Networks skills
- Computer Science and Software Development skills
- Natural Language Processing (NLP) skills
- Strong analytical and problem-solving skills
- Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience
- Bachelor\’s degree in Computer Science, Engineering, or related field
Financial Services AI Engineer employer: Leading Point
Contact Detail:
Leading Point Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Services AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to pattern recognition, neural networks, and NLP. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with MLOps and software development. Practice common interview questions and consider doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you at Leading Point. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Financial Services AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI engineering and financial services. We want to see how your skills in pattern recognition, neural networks, and NLP fit the role perfectly!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI in financial services and how your background makes you the ideal candidate for this role.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with MLOps or software development that demonstrate your hands-on experience.
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 without any hiccups!
How to prepare for a job interview at Leading Point
✨Know Your AI Stuff
Make sure you brush up on your knowledge of pattern recognition, neural networks, and natural language processing. Be ready to discuss specific projects you've worked on that showcase these skills, as Leading Point will want to see how you can apply your expertise in real-world scenarios.
✨Showcase Your Financial Services Experience
Since the role requires a solid background in financial services, prepare examples from your past work that highlight your experience in this sector. Think about challenges you've faced and how your AI solutions made a difference in risk management or data capabilities.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle some technical questions or case studies during the interview. Practice explaining your thought process clearly and logically, as Leading Point will be looking for strong analytical skills and how you approach problem-solving in AI engineering.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of AI use cases they are currently working on or how they measure success in their projects. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
