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For Companies At a Glance
- Tasks: Source and integrate data for credit risk models, ensuring accuracy and reliability.
- Company: Leading financial institution in Northern Ireland with a strong focus on data integrity.
- Benefits: Market-leading pension scheme, healthcare, and flexible hybrid work options.
- Why this job: Join a dynamic team and make a real impact in the financial sector.
- Qualifications: Bachelor's degree in a quantitative field and 3+ years of relevant experience.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A financial institution based in Northern Ireland is looking for a Senior Quantitative Analyst to join the Model Data Team. In this role, you will source and integrate data for credit risk models while ensuring accuracy and reliability.
The ideal candidate has:
- a bachelor's degree in a quantitative field,
- at least 3 years of relevant experience,
- proficiency in SAS or SQL.
This hybrid position offers a market-leading pension scheme, healthcare, and flexible work options.
Senior Quantitative Analyst, Model Data (Hybrid) in Belfast employer: AIB (NI)
Contact Detail:
AIB (NI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst, Model Data (Hybrid) in Belfast
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the financial sector, especially those who have worked as quantitative analysts. They can provide insider info and might even refer you directly to hiring managers.
✨Tip Number 2
Prepare for the interview by brushing up on your SAS and SQL skills. We all know that technical questions can be tricky, so practice coding challenges and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Showcase your data integration experience! Be ready to discuss specific projects where you sourced and integrated data for credit risk models. Highlighting your past successes will make you stand out.
✨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 take the initiative to connect with us directly.
We think you need these skills to ace Senior Quantitative Analyst, Model Data (Hybrid) in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis and data integration. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in SAS or SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Quantitative Analyst position. Share specific examples of your past work that demonstrate your ability to ensure data accuracy and reliability.
Showcase Relevant Experience: When filling out your application, focus on your relevant experience in credit risk models. We’re looking for candidates with at least 3 years in the field, so make sure to highlight any projects or roles that showcase this expertise.
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, it’s super easy to do!
How to prepare for a job interview at AIB (NI)
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific projects where you've used data analysis. Be prepared to explain how you sourced and integrated data for credit risk models, as this will show your hands-on experience.
✨SAS and SQL Mastery
Since proficiency in SAS or SQL is key for this role, make sure you can talk confidently about your experience with these tools. Consider preparing a few examples of how you've used them to solve complex problems or improve processes.
✨Understand the Company’s Needs
Research the financial institution and its Model Data Team. Understand their approach to credit risk and think about how your skills can contribute to their goals. This will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare Questions
Interviews are a two-way street, so prepare insightful questions about the team dynamics, the challenges they face, and how success is measured in this role. This shows that you're not just interested in the job, but also in how you can fit into their culture.
