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- Tasks: Validate key financial models and enhance modelling standards across the business.
- Company: Dynamic financial services firm with a focus on innovation and collaboration.
- Benefits: Competitive salary up to ÂŁ85,000, bonuses, flexible work, and growth opportunities.
- Other info: Inclusive culture supporting diversity and career advancement.
- Why this job: Lead impactful projects that shape credit models and business decisions.
- Qualifications: 7+ years in model validation, strong technical skills, and excellent communication.
The predicted salary is between 51000 - 85000 ÂŁ per year.
🔍 Lead Scorecard Model Validation Analyst London | Up to £85,000 | Hybrid / Flexible Are you a seasoned scorecard model validation specialist with passion, precision, and purpose? Our client is looking for a Lead Scorecard Model Validation Analyst to take ownership of validating critical financial models — from marketing, acquisitions, customer management to impairment provisioning — and elevate their modelling standards across the business. What You’ll Do Independently validate key models: review conceptual frameworks, data integrity, and implementation. Oversee the health of model’s post-launch: performance monitoring, recalibration, stress testing. Collaborate with first-line developers and business units to resolve risks and enhance model robustness. Produce clear, compelling validation reports for senior stakeholders and regulators. Ensure compliance with internal policies and regulatory frameworks (IFRS 9, model risk guidance). Help evolve our validation methodology and framework to stay ahead of industry best practices. Be a pro-active problem solver, spotting risks and issues and leading their mitigation. What We’re Looking For Bachelor’s or Master’s in a quantitative field (Finance, Maths, Statistics, Economics, Computer Science). Ph.D. is a plus. 7+ years in model/scorecard development and/or validation or quantitative risk roles Preferable within a Bank or Financial Services entity (not consultancy) Deep technical skillset: statistical modelling, credit
Lead Scorecard Model Validation Analyst employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Scorecard Model Validation Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to scorecard model validation. We suggest doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Bring along examples of your previous work or case studies that highlight your experience in model validation. We want to see how you’ve tackled challenges and made an impact in your past roles.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We recommend mentioning something specific from the interview to show your genuine interest in the role.
We think you need these skills to ace Lead Scorecard Model Validation Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Scorecard Model Validation Analyst role. Highlight your experience in model validation and any relevant technical skills, like Python or SQL, that match what we're looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about model validation and how your background aligns with our needs. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've identified risks and led solutions in previous roles. We love seeing proactive problem solvers who can make a difference!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at InterQuest Group
✨Know Your Models Inside Out
Make sure you have a solid understanding of the scorecard models you'll be validating. Brush up on the conceptual frameworks, data integrity checks, and implementation processes. Being able to discuss these in detail will show your expertise and confidence.
✨Prepare for Technical Questions
Expect to dive deep into statistical modelling and risk methodologies during the interview. Practise explaining your experience with Python, R, and SQL, as well as how you've applied these skills in previous roles. This will demonstrate your technical fluency and problem-solving abilities.
✨Showcase Your Communication Skills
Since you'll need to translate complex findings to non-technical stakeholders, prepare examples of how you've done this in the past. Think about times when your clear communication made a difference in project outcomes or stakeholder understanding.
✨Familiarise Yourself with Regulatory Frameworks
Brush up on IFRS 9 and model risk guidance before the interview. Be ready to discuss how you've ensured compliance in your previous roles and how you can help evolve validation methodologies to meet regulatory expectations.