Model Risk Manager

InterQuest Group
Essex
9 months ago
Applications closed

Related Jobs

View all jobs

Credit Risk Data Science Manager

Senior/Principal Product Manager - Machine Learning and AI

Machine Learning Engineer (Manager)

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

Machine Learning Engineer (Manager)

Model Risk Manager – Empower, Influence, and Lead

up to £90K + excellent benefits and bonus

Hybrid/Essex (2 days in office)


Are you ready to take your expertise in risk management to the next level?Step into a pivotal role where your analytical skills, leadership, and strategic thinking will directly impact decision-making at the highest levels. As aModel Risk Manager, you will play a key role within the Enterprise Risk team, with direct exposure to senior management and theBoard of Directors.


This role offers the opportunity towork across multiple European markets, ensuring compliance withUK FCA and PRA regulations, while also navigating additional local regulatory requirements. You will be instrumental inshaping model risk strategy, enhancing the risk frameworks, anddriving real changewithin the organization.


If you're aproblem-solver with a passion for risk, analytics, and leadership, we want to hear from you!


Why Join this Bank?

🌟High-Impact Role– Influence decisions at senior levels and work directly with executives and Board members.

💼Leadership & Visibility– Be a part of the Enterprise Risk team, a key second-line function, ensuring strategic oversight of critical risk areas.

🌍International Exposure– Work across diverse European markets and develop a deep understanding of different regulatory landscapes.

📈Professional Growth– Expand your expertise inmodel risk management overseas and with peers in Treasury, ESG strategy, and risk frameworks.

💡Supportive & Inclusive Culture– Work in an environment that values diverse perspectives and fosters continuous learning and collaboration.


Key Responsibilities

📊 Model Risk Management

  • Lead the development and maintenance ofModel Risk Management Policies and Frameworks, ensuring compliance with evolving regulations.
  • Work closely with model developers, owners, and independent validators tomonitor, improve, and approve risk models.
  • Implement cutting-edgerisk measurement and reportingtechniques, setting model risk appetites aligned with strategic objectives.
  • Challenge existing models with innovativePost-Model Adjustments, ensuring accuracy and resilience.

📈 Model Development & Validation

  • Partner with teams todevelop robust modelsfor ICAAP Pillar 2 risks, includingcredit, operational, market, and concentration risk.
  • Drive research and innovation by designingchallenger models and stress testing methodologies.
  • Validate models with a strategic and independent mindset, ensuring high-quality risk assessments.

🌍 Enterprise Risk & Strategic Support

  • Contribute to critical risk initiatives such asICAAP, Recovery Planning, ESG strategies, and Risk Appetite Frameworks.
  • Engage with senior committees tocommunicate complex risk concepts in a clear and impactful manner.


Who You Are

A visionary risk expert– with a Master’s or PhD inStatistics, Mathematics, Econometrics, or Financial Engineering.

A specialist in financial risk modeling– with expertise inExpected Credit Loss (IFRS9)and banking risk areas (credit, market, operational, and rate risk).

An analytical thinker with data science skills– adept atSAS, Alteryx, Excel VBA, and leveraging data to drive strategic decisions.

A confident communicator– with the ability to present technical insights to senior leadership in aclear and engaging manner.

A problem-solver– who can navigate complexities, manage competing priorities, and drive pragmatic solutions.


Bonus Points If You Have…

🔹 Experience withIRB approach development

🔹 Regulatory experience – working with or for financial regulators


Ready to Make an Impact?

Call us and discuss how you can be part of this team that values expertise, innovation, and leadership. If you’re ready to elevate your career in risk management and shape the future of financial resilience,apply now!🚀

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.