Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

InterQuest Group (UK) Limited | Model Risk Senior Analyst

InterQuest Group (UK) Limited
Newcastle upon Tyne
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Machine Learning & Advanced Analytics)

Are you ready to make a difference in the banking industry by ensuring robust and reliable models that drive critical decisions? Our client is looking for a passionate and skilledModel Risk Managerto join their team, where innovation meets responsibility.

Your Key Role:

  • Enhance our Model Risk Management Frameworkto uphold regulatory standards and mitigate risks effectively.
  • Independently validate and review models, includingstochastic modelsanddeterministic quantitative methods, that underpin critical banking decisions.
  • Ensure compliance with regulatory frameworks such asICAAP,ILAAP, and IRB requirements.
  • Collaborate with teams across the bank to identify, assess, and mitigate model risks.
  • Present your insights and findings to theModel Oversight Committee (MOC)and senior management.
  • Stay ahead of regulatory developments and integrateindustry best practicesinto our banking operations.

What You'll Bring:

  • Experience inIRB model validationand knowledge of key regulations likeCRR, EBA, and PRA.
  • A strong analytical background, with expertise inSAS, SQL, R, or Pythonto support model assessments.
  • Educational credentials instatistics, mathematics, data science, or engineering.
  • Exceptional communication skills to engage with stakeholders across all levels of the bank.
  • A proactive, detail-oriented mindset with a collaborative approach to problem-solving.

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.


JBRP1_UKTJ

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.