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- Tasks: Develop and validate statistical models for credit risk management.
- Company: Leading financial services organisation based in Birmingham.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Why this job: Shape key decisions in risk modelling and make a real impact.
- Qualifications: Experience in statistical modelling and strong analytical skills.
- Other info: Join a collaborative team at the forefront of financial innovation.
The predicted salary is between 42000 - 60000 £ per year.
A permanent opportunity has arisen for a Senior Modelling Analyst (Credit Risk) to join a leading financial services organisation at the Birmingham HQ. This role will place you at the centre of the risk modelling function, with responsibility for developing, validating and maintaining statistical models, including IFRS9 and operational scorecards.
It is a position that combines technical challenge with real influence, giving you the chance to shape key decisions…
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Senior Statistical Modelling Analyst employer: MSA Data Analytics Ltd
Contact Detail:
MSA Data Analytics Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Modelling Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working in risk modelling. A friendly chat can open doors and give us insights into the company culture.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss statistical models and your experience with IFRS9. We want to show them we’re not just good on paper but can also deliver in real-life scenarios.
✨Tip Number 3
Don’t underestimate the power of a follow-up! After an interview, drop a quick thank-you email. It shows our enthusiasm and keeps us fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our CV and cover letter to match exactly what they’re looking for.
We think you need these skills to ace Senior Statistical Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Statistical Modelling Analyst role. Highlight your experience with statistical models, especially in credit risk and IFRS9, so we can see how you fit into our team.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about risk modelling and how your skills align with our needs. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: We want to see your technical prowess! Include any relevant software or programming languages you’re proficient in, especially those used in statistical modelling. This will help us understand your capabilities right off the bat.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at MSA Data Analytics Ltd
✨Know Your Models Inside Out
Make sure you’re well-versed in the statistical models relevant to credit risk, especially IFRS9 and operational scorecards. Be prepared to discuss your experience with these models and how you've developed or validated them in previous roles.
✨Showcase Your Analytical Skills
During the interview, highlight specific examples where your analytical skills made a significant impact. Use data-driven results to demonstrate how your modelling work has influenced key decisions in past projects.
✨Understand the Business Context
It’s crucial to understand how your role as a Senior Statistical Modelling Analyst fits into the broader financial services landscape. Research the company’s recent developments and be ready to discuss how your expertise can contribute to their goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so prepare insightful questions about the team, the modelling processes, and the challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
