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- Tasks: Validate 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 working, and growth opportunities.
- Why this job: Lead impactful projects that shape credit models and business decisions.
- Qualifications: 7+ years in model validation, strong technical skills in Python, R, SQL.
- Other info: Inclusive culture promoting diversity and equity, with exposure to senior management.
The predicted salary is between 51000 - 85000 ÂŁ per year.
🔍 Lead Scorecard Model Validation Analyst
London | Up to ÂŁ85,000 | 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 & scorecard modelling, risk methodologies.
- Programming fluency in Python, R, SQL.
- Strong communicator: you can translate technical findings to business and non-technical audiences.
- Proven ability to work independently, lead initiatives, and influence key stakeholders.
- Familiarity with regulatory expectations around model risk and IFRS 9.
Why This Role Could Be for You
- Leadership & impact: your work will directly influence the integrity of our client’s credit models and business decisions.
- Autonomy + support: while you’ll be leading the validation agenda, you won’t be working in isolation. You’ll partner closely with model teams and senior leadership.
- Competitive compensation: up to ÂŁ85,000 plus benefits, bonus, and flexibility.
- Growth & visibility: this role sits in the Second Line of Defence and has exposure to senior management and regulatory audiences.
- Inclusive culture: our client seeks people of all backgrounds, as they actively support diversity, equity, and belonging.
Transfer of sponsorship open to individuals currently residing in the UK only.
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 events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to model validation. We recommend role-playing with a friend to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on relevant models, be ready to discuss them in detail. This will help you stand out as a candidate who knows their stuff!
✨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 are proactive about their job search.
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 should tell us why you're passionate about this role and how your background makes you a perfect fit. Don’t just repeat your CV; use this space to showcase your personality and problem-solving skills.
Showcase Your Technical Skills: We want to see your deep technical skillset in action! Include specific examples of projects where you've used statistical modelling or credit scorecard methodologies. This will help us understand your expertise better.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at InterQuest Group
✨Know Your Models Inside Out
Make sure you’re well-versed in the models you’ll be validating. Brush up on the conceptual frameworks, data integrity checks, and implementation processes. Being able to discuss these confidently will show your expertise and passion for the role.
✨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. Highlight your ability to produce clear validation reports and how you’ve collaborated with different teams to enhance model robustness.
✨Understand Regulatory Frameworks
Familiarise yourself with IFRS 9 and model risk guidance. Be ready to discuss how you’ve ensured compliance in your previous roles. This knowledge will not only impress but also show that you’re proactive about staying ahead of industry standards.