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- Tasks: Manage model risk for Generative AI and financial models while ensuring compliance.
- Company: Leading fintech firm in Greater London with a focus on innovation.
- Benefits: Flexible working options and a supportive environment for career growth.
- Why this job: Join a dynamic team and shape the future of AI governance in finance.
- Qualifications: Expertise in AI governance and strong analytical skills required.
- Other info: Proactive approach to risk management is essential for success.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech firm in Greater London is seeking an AI Governance Specialist to manage model risk related to Generative AI and traditional financial models. You will oversee the Model Risk Framework, ensuring compliance with internal and external standards while collaborating across teams.
The ideal candidate should have expertise in AI governance, strong analytical skills, and a proactive approach to risk management. This role offers flexible working options and a supportive environment for career progression.
Gen AI Model Risk Lead — AI Governance & Validation employer: Allica Bank
Contact Detail:
Allica Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Model Risk Lead — AI Governance & Validation
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with AI governance. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your expertise! When you get the chance to meet potential employers, be ready to discuss your experience with model risk and AI governance. Bring examples of how you've tackled challenges in the past.
✨Tip Number 3
Stay updated on industry trends! Follow the latest news in AI and fintech. Being knowledgeable about current events will not only impress interviewers but also help you engage in meaningful conversations.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team in shaping the future of AI governance.
We think you need these skills to ace Gen AI Model Risk Lead — AI Governance & Validation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI governance and model risk management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI governance and how your proactive approach can benefit our team. Keep it engaging and personal – we love to see your personality!
Showcase Analytical Skills: Since strong analytical skills are key for this role, include examples of how you've used these skills in past positions. Whether it's through data analysis or risk assessments, we want to know how you tackle challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Allica Bank
✨Know Your AI Governance Inside Out
Make sure you brush up on the latest trends and regulations in AI governance. Be prepared to discuss how you would apply these principles to manage model risk, especially in the context of Generative AI.
✨Showcase Your Analytical Skills
Prepare examples from your past experiences where your analytical skills made a significant impact. Think about specific challenges you faced in risk management and how you tackled them.
✨Collaboration is Key
Since this role involves working across teams, be ready to share instances where you successfully collaborated with others. Highlight your communication skills and how you can bridge gaps between technical and non-technical teams.
✨Emphasise Your Proactive Approach
Demonstrate your proactive mindset by discussing how you've anticipated risks before they became issues. Share strategies you've implemented in the past to ensure compliance with both internal and external standards.
