At a Glance
- Tasks: Support model risk assessments and guide model development in a collaborative environment.
- Company: Join the Financial Conduct Authority, a leader in financial regulation.
- Benefits: Enjoy a competitive salary, 25 days annual leave, and hybrid working options.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make an impact in model risk management while utilising your data science skills.
- Qualifications: Strong experience in machine learning and coding skills in Python, SQL, or R.
The predicted salary is between 50000 - 65000 £ per year.
The Financial Conduct Authority in Leeds is looking for a candidate skilled in modelling and data science to contribute to their model risk management framework.
Key responsibilities include:
- Supporting model risk assessments
- Guiding model development
- Collaborating with teams across the organization
Candidates should have strong experience in machine learning techniques and practical coding skills in Python, SQL, or R.
The role offers a competitive salary and a comprehensive benefits package, including 25 days of annual leave and hybrid working opportunities.
Senior Model Risk Associate - ML & AI Governance (Hybrid) in Leeds employer: Financial Conduct Authority
The Financial Conduct Authority in Leeds is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the field of model risk management. With a strong commitment to employee growth, the organisation provides extensive training opportunities and a competitive benefits package, including 25 days of annual leave and flexible hybrid working arrangements, making it an attractive place for professionals seeking meaningful and rewarding careers in data science and machine learning.
Contact Details:
Financial Conduct Authority Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Model Risk Associate - ML & AI Governance (Hybrid) in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of model risk management and data science. Use platforms like LinkedIn to connect with people at the Financial Conduct Authority and ask for informational interviews. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving Python, SQL, or R. This will give you an edge during interviews and demonstrate your practical coding skills to potential employers.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills by working on model risk assessments or similar projects. Consider using online resources or courses to enhance your knowledge in ML & AI governance, so you can speak confidently about your expertise during interviews.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It not only streamlines the process but also shows your genuine interest in the role. Plus, it’s a great way to stay updated on any new opportunities that pop up!
We think you need these skills to ace Senior Model Risk Associate - ML & AI Governance (Hybrid) in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in modelling and data science. We want to see how your skills in machine learning techniques and coding in Python, SQL, or R align with the role.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about model risk management and how you can contribute to our framework. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! We love seeing practical examples of your work, especially those that demonstrate your skills in model development and risk assessments.
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 exciting opportunity!
How to prepare for a job interview at Financial Conduct Authority
✨Know Your Models Inside Out
Make sure you’re well-versed in the models you’ve worked with, especially those related to machine learning and data science. Be ready to discuss specific examples of how you've assessed model risk and contributed to model development.
✨Brush Up on Your Coding Skills
Since practical coding skills in Python, SQL, or R are crucial for this role, we recommend doing a quick refresher on these languages. Prepare to demonstrate your coding abilities, perhaps even through a live coding exercise during the interview.
✨Understand the Regulatory Landscape
Familiarise yourself with the Financial Conduct Authority's guidelines and expectations regarding model risk management. Showing that you understand the regulatory environment will set you apart from other candidates.
✨Collaborate and Communicate
This role involves working with various teams, so be prepared to discuss your experience in collaboration. Think of examples where you successfully communicated complex modelling concepts to non-technical stakeholders.
