Model Risk Manager

InterQuest Group
Essex
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Machine Learning Engineer

MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

Computer Vision Engineer X 3

Data Scientist

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.