At a Glance
- Tasks: Set up AI frameworks and manage data for a leading financial trading client.
- Company: Join a top bank at the forefront of AI innovation.
- Benefits: Excellent salary, bonus, and flexible work-from-home options.
- Other info: Great career growth opportunities in a dynamic environment.
- Why this job: Be part of a cutting-edge team shaping the future of AI in finance.
- Qualifications: Experience with AI tools and strong data management skills required.
The predicted salary is between 60000 - 80000 £ per year.
My leading Financial trading client are looking for a talented and adaptable individual to help setup their AI frameworks and subsequently implement AI into the business. Initially the role would be a mix of AI and Data management, which would then transition into a full AI role once the frameworks have been setup. Some of the initial tasks include Dataset onboarding, cataloguing data assets, and setting data quality rules. This is a brilliant role in a cutting edge part of the business!
The following skills / experience are required:
- Business Analyst / Product Owner experience
- Strong experience with AI tools (either Microsoft Fabric, Databricks, or similar)
- Proven experience in Data
- Previous technical experience as a Developer or Engineer
- Financial product / traded product knowledge is desirable
- Any experience with Machine Learning / Large Language Models (LLM) / Data Science is desirable
- Excellent communication skills
Salary: Excellent + bonus + package
Location: London (good work from home options available)
If you are interested in this AI Governance Engineer position and meet the above requirements please apply immediately.
AI Governance Engineer - Leading Bank employer: Hunter Bond
As a leading bank, we pride ourselves on fostering a dynamic and innovative work environment where talented individuals can thrive. Our commitment to employee growth is evident through comprehensive training programmes and opportunities to work on cutting-edge AI projects that shape the future of finance. With a strong emphasis on work-life balance and flexible working options, particularly in our London office, we ensure that our employees feel valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance Engineer - Leading Bank
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the bank or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! If you’ve got experience with AI tools like Microsoft Fabric or Databricks, make sure to highlight that in conversations. Share examples of how you've used these tools effectively in past roles.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of financial products and data management. Being able to discuss how your background aligns with the role will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar names pop up in our system!
We think you need these skills to ace AI Governance Engineer - Leading Bank
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI tools and data management. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our cutting-edge team.
Showcase Your Communication Skills:Since excellent communication is key, make sure your application is clear and concise. We appreciate well-structured writing that gets straight to the point!
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 this brilliant opportunity!
How to prepare for a job interview at Hunter Bond
✨Know Your AI Tools
Make sure you’re well-versed in the AI tools mentioned in the job description, like Microsoft Fabric or Databricks. Brush up on your knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Data Management Skills
Prepare examples of your experience with data management, especially around dataset onboarding and cataloguing data assets. Be specific about the data quality rules you've implemented and how they improved processes.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a technical background.
✨Demonstrate Your Adaptability
Highlight your ability to adapt to new roles and responsibilities, especially transitioning from a mix of AI and data management to a full AI role. Share examples of how you've successfully navigated change in previous positions.
