Lead Model Risk Analyst – Validation & AI
Lead Model Risk Analyst – Validation & AI

Lead Model Risk Analyst – Validation & AI

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Validate and oversee AI models while ensuring compliance and accuracy.
  • Company: Leading UK bank with a focus on innovation and collaboration.
  • Benefits: Flexible working hours, generous vacation policies, and a supportive environment.
  • Why this job: Join a dynamic team and make an impact in the world of AI and risk management.
  • Qualifications: Expertise in model validation, analytical skills, and effective communication.
  • Other info: Inclusive workplace with opportunities for professional growth.

The predicted salary is between 48000 - 72000 £ per year.

A leading UK bank is seeking a talented Lead Risk Analyst to join its Model Risk Oversight Team. The successful candidate will validate and oversee various models, particularly those involving AI. Strong expertise in model validation, analytical skills using tools like Python, and the ability to communicate findings are essential.

This role offers numerous benefits including flexible working and generous vacation policies, fostering a collaborative and inclusive workplace.

Lead Model Risk Analyst – Validation & AI employer: Starling Bank

As a leading UK bank, we pride ourselves on being an excellent employer that champions a collaborative and inclusive work culture. Our Lead Model Risk Analyst role not only offers competitive benefits such as flexible working arrangements and generous vacation policies but also provides ample opportunities for professional growth and development in the rapidly evolving field of AI and model validation.
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Contact Detail:

Starling Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Model Risk Analyst – Validation & AI

Tip Number 1

Network like a pro! Reach out to professionals in the banking and risk analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Prepare for those interviews! Brush up on your model validation knowledge and be ready to discuss how you've used tools like Python in past projects. We want to see your analytical skills shine!

Tip Number 3

Showcase your communication skills! Practice explaining complex concepts in simple terms. This is key for roles that require collaboration and sharing findings with non-technical stakeholders.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lead Model Risk Analyst – Validation & AI

Model Validation
Analytical Skills
Python
Communication Skills
AI Expertise
Risk Analysis
Collaboration
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in model validation and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess and any relevant tools you've used, like Python.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about model risk analysis and how you can contribute to our team. Keep it engaging and make sure to mention any specific projects or achievements that relate to the job.

Showcase Your Communication Skills: Since communicating findings is key for this role, we recommend including examples of how you've effectively shared complex information in the past. Whether it’s through presentations or reports, let us know how you’ve made an impact!

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, you’ll find all the details you need about the position there!

How to prepare for a job interview at Starling Bank

Know Your Models Inside Out

Make sure you’re well-versed in the models you’ll be validating. Brush up on the latest trends in AI and model risk management, and be ready to discuss specific examples of models you've worked with. This shows your expertise and passion for the field.

Show Off Your Analytical Skills

Prepare to demonstrate your analytical skills using tools like Python. You might be asked to solve a problem or analyse data on the spot, so practice coding challenges or model validation scenarios beforehand. This will help you feel confident during the interview.

Communicate Clearly and Effectively

Since communication is key in this role, practice explaining complex concepts in simple terms. Think about how you would present your findings to non-technical stakeholders. This will showcase your ability to bridge the gap between technical and non-technical audiences.

Embrace the Collaborative Spirit

The bank values a collaborative and inclusive workplace, so be prepared to discuss how you work in teams. Share examples of past experiences where you’ve successfully collaborated with others, and highlight your adaptability and openness to different perspectives.

Lead Model Risk Analyst – Validation & AI
Starling Bank

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