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

Apply Now

Chief Risk Officer

IDEX Consulting Ltd
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science (hands on) – FinTech

Data analyst

Data analyst...

Data Analyst...

Data Analyst

VP Machine Learning

Chief Risk Officer – Drive Global Expansion in a PE-Backed, High-Growth MGA Group


Are you adynamic risk leaderwith experience scalingPE-backedinsurance businesses? Do you thrive in a fast-paced, entrepreneurial environment where you can shaperisk strategy, underwriting performance, and global expansion? If so, this could be your next big move.


About the Business

Our client have a strong backing fromprivate equity, they're are rapidly expanding their global footprint and building a world-class portfolio of underwriting businesses. As they scale, they need aChief Risk Officer (CRO)to driverisk strategy, product innovation, and portfolio profitabilityacross the growing network of MGAs.


The Opportunity

This is anewly created, executive leadership role, offering the chance to work closely with the portfolio MGAs, underwriting teams, and capacity providers. You'll take ownership of:


  • Shaping the risk strategyacross multiple product lines and territories.
  • Optimizing underwriting portfolio performanceand ensuring profitable growth.
  • Leading actuarial and data science teamsto enhance predictive modeling and AI-driven underwriting.
  • Strengthening relationships with global insurers and reinsurance partnersto align risk appetite and capacity.
  • Playing a key role in M&A transactions, leading actuarial diligence and portfolio optimization.


What We're Looking For

  • 10+ years in risk management, underwriting, actuarial science, or portfolio oversightwithin an MGA, insurer, or reinsurer.
  • Proven track record inPE-backed businesses that have scaled globally.
  • Expertise inportfolio analytics, pricing models, and emerging risk trends.
  • Actuarial background (FSA, FCAS, or equivalent)highly preferred.
  • Astrategic mindsetwith the ability to influence senior stakeholders and drive commercial success.
  • A passion forinnovation, data-driven decision-making, and AI-enhanced underwriting.

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.