Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Exposure Management Analyst

Tower, Greater London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer - 12 month FTC

Senior AWS Data Engineer

AWS Data Engineer - £120,000

Data Engineer - Google Cloud - Insurance

Data Engineer

Azure Data Engineer - Manchester

Exposure Management Analyst
Location: London (Hybrid – 3 days in office per week)
Salary: £60,000 + 15% bonus + full benefits package

A rare opportunity has arisen for an analytically minded and technically confident Exposure Management Analyst to join a specialist reinsurer with a focused class of business and a national-level remit. This is not a traditional catastrophe modelling role — instead, you’ll be central to a highly strategic exposure team supporting data collection, validation, analysis, and internal modelling for one of the UK’s most important risk pools.

This role offers a unique blend of technical exposure management, project-based process enhancement, and client-facing engagement with over 100 insurer and reinsurer members. It’s ideal for someone looking to develop both depth and breadth — from SQL and Power BI automation to external relationship-building and high-impact internal reporting.

Key Responsibilities:

Support the full cycle of exposure data collection and validation, including annual returns

Liaise directly with market members to resolve data issues and improve submissions

Maintain and enhance internal exposure enrichment processes (e.g. geocoding, policy matching)

Produce internal MI reports and dashboards for actuarial, executive and underwriting teams

Support retrocession and cat bond placement through robust exposure insights

Contribute to projects improving the team’s analytics, reporting and operational processes

Work cross-functionally with consulting and analytical teams on broader exposure initiatives

What makes this role different:

No reliance on third-party vendor models — exposure data is modelled in-house

High visibility across the UK insurance market

Blend of hands-on data work and external-facing responsibility

Tight-knit, collaborative team with room to influence and grow

Opportunity to build your external profile in the exposure space

Who we’re looking for:

Strong technical skills in SQL, VBA and Excel

Experience with Power BI (or another MI/reporting tool)

Understanding of exposure management principles (not necessarily terrorism-specific)

Strong communication skills and stakeholder confidence

Highly organised with an eye for data quality, governance and process improvement

Ideally degree-educated in a quantitative, technical or risk-related subject

The Offer:

£60,000 base salary

15% target bonus

25 days annual leave (plus an extra day every 5 years)

5 days volunteering leave

Hybrid working: 3 days per week in office (including one Monday and one Friday per month)

Core hours 10:00–16:00 with flexible start and finish times

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.

Seasonal Hiring Peaks for Data Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

Pre-Employment Checks for Data Engineering Jobs: DBS, References & Right-to-Work and more Explained

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Why Now Is the Perfect Time to Launch Your Career in Data Engineering: The UK's Data Infrastructure Revolution

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.