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For Companies At a Glance
- Tasks: Develop and monitor models for retail risk, ensuring compliance and performance.
- Company: Join Santander, a diverse and inclusive workplace that values your contributions.
- Benefits: Enjoy a competitive salary, bonuses, pension, and generous holiday entitlement.
- Why this job: Make an impact in the banking sector with your analytical skills and innovative thinking.
- Qualifications: Degree in a quantitative field; coding skills in SAS, SQL, R, or Python required.
- Other info: Great opportunities for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Quantitative Analyst, S2 Retail Risk Methodology, Milton Keynes
Country: United Kingdom
Employment Type: Full-Time
Responsibilities
- Deliver model development and monitoring projects to deadlines, working independently.
- Write technical documentation describing the model development in detail.
- Analyse the performance of the new model and any challenger models.
- Assess adherence to the relevant regulatory environment.
- Ensure that models are fit for purpose in accordance with company strategy and aims.
- Present the model development to approval committees.
- Monitor model performance for in-force models.
Qualifications
- Track record of successful delivery in a statistical analysis or modelling role preferably in a banking environment.
- Proven ability to conduct statistical analysis in a coding environment such as SAS, SQL, R or Python.
- Experience of interpreting technical documentation and producing written reports which convey technical information in an accessible manner targeted to specific audiences.
- Appreciation / knowledge of regulatory compliance requirements such as Basel or IFRS9.
- Degree level education in a quantitative field; a postgraduate qualification / PhD would be advantageous.
- Experience in model development or model monitoring within the retail methodology or risk methodology teams would be an advantage.
Benefits
We offer a competitive salary, discretionary performance bonus, pension contributions, holiday entitlement and a range of employee benefits.
Inclusion
At Santander we are creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We celebrate diversity and attract, retain and develop the most talented people through living our values of Simple Personal and Fair.
Quantitative Analyst | S2 | Retail Risk Methodology | Milton Keynes employer: Banco Santander
Contact Detail:
Banco Santander Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst | S2 | Retail Risk Methodology | Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with statistical analysis and coding in SAS, SQL, R, or Python. Show us you know your stuff!
✨Tip Number 3
Don’t just focus on the technical side; be ready to explain how your work aligns with regulatory compliance like Basel or IFRS9. We want to see that you understand the bigger picture!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Santander.
We think you need these skills to ace Quantitative Analyst | S2 | Retail Risk Methodology | Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience in statistical analysis and model development, especially if you've worked in a banking environment. We want to see how your skills align with our needs!
Showcase Your Technical Skills: When writing your application, don’t forget to mention your coding skills in SAS, SQL, R, or Python. We love seeing candidates who can demonstrate their technical prowess, so make it clear how you’ve used these tools in your previous roles.
Keep It Clear and Concise: Your written application should be easy to read and straight to the point. Use clear language to convey your technical knowledge and experience. Remember, we’re looking for someone who can present complex information in an accessible way!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Banco Santander
✨Know Your Models
Make sure you have a solid understanding of the models you've worked on. Be ready to discuss your experience with model development and monitoring, especially in a retail risk context. Brush up on any relevant statistical analysis techniques and be prepared to explain how you've applied them in previous roles.
✨Technical Documentation is Key
Since writing technical documentation is part of the job, practice explaining complex concepts in simple terms. Prepare examples of reports or documentation you've created in the past, and think about how you can convey technical information to different audiences effectively.
✨Regulatory Knowledge Matters
Familiarise yourself with regulatory compliance requirements like Basel or IFRS9. Be ready to discuss how these regulations impact model development and performance monitoring. Showing that you understand the regulatory landscape will demonstrate your readiness for the role.
✨Prepare for Presentations
You'll need to present your model development to approval committees, so practice your presentation skills. Think about how to structure your presentation clearly and concisely, and prepare to answer questions confidently. This will show that you're not only knowledgeable but also capable of communicating effectively.