At a Glance
- Tasks: Lead a team to develop risk grading models and perform complex data analysis.
- Company: Major banking institution with a focus on innovation and compliance.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a significant impact in risk management while working with a talented team.
- Qualifications: 5+ years in model development and proficiency in SAS, SQL, and programming languages.
- Other info: Join a dynamic team in the heart of Greater London.
The predicted salary is between 48000 - 72000 £ per year.
A major banking institution is looking for a Quantitative Risk Manager to lead the development of risk grading models within the Decision Analytics Team.
Responsibilities include:
- Managing a team
- Engaging with stakeholders to ensure compliance with regulatory needs
- Performing complex data analysis
Candidates should have a minimum of 5 years in model development, proficiency in SAS, SQL, and relevant programming languages.
The position offers a hybrid work model within the Greater London area.
Senior Quantitative Risk Manager – Decision Analytics employer: Allied Irish Bank
Contact Detail:
Allied Irish Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Risk Manager – Decision Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking sector and let them know you're on the hunt for a Senior Quantitative Risk Manager role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since this role involves complex data analysis and programming, make sure you can confidently discuss your experience with SAS, SQL, and any other relevant languages. Practice makes perfect!
✨Tip Number 3
Showcase your leadership skills! As you'll be managing a team, think of examples from your past where you've successfully led projects or mentored others. Be ready to share these stories during interviews to demonstrate your capability.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Quantitative Risk Manager – Decision Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in model development and data analysis. We want to see how your skills in SAS, SQL, and other programming languages align with the role.
Showcase Leadership Skills: Since this role involves managing a team, don’t forget to mention any leadership experiences you’ve had. We’re looking for someone who can engage with stakeholders and lead effectively.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure to communicate your qualifications and enthusiasm for the role without unnecessary fluff.
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 position!
How to prepare for a job interview at Allied Irish Bank
✨Know Your Models Inside Out
Make sure you can discuss your experience with risk grading models in detail. Be prepared to explain the methodologies you've used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Brush Up on Your Technical Skills
Since proficiency in SAS, SQL, and relevant programming languages is crucial, we recommend reviewing key concepts and being ready to demonstrate your skills. You might be asked to solve a problem or analyse data on the spot, so practice coding exercises beforehand.
✨Engage Stakeholders Like a Pro
As this role involves engaging with stakeholders, think about examples where you've successfully communicated complex data insights to non-technical audiences. Prepare to discuss how you ensure compliance with regulatory needs while balancing stakeholder expectations.
✨Show Your Leadership Style
Since you'll be managing a team, reflect on your leadership experiences. Be ready to share how you motivate your team, handle conflicts, and drive performance. This will help the interviewers see how you fit into their culture and lead effectively.