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

View Open Roles

Data Analyst

Munich Re Specialty - North America
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

The Role

– Data Analyst (Broking)

An exciting opportunity to join an innovative Lloyd's of London insurance broker based in the City of London. You will join our Data Analyst team and leverage our unique data warehouse and real-time data capture capabilities to build modern solutions to deliver data analytics to both our internal Broking, Underwriting and Claims teams as well as our clients and the London and Company Insurance Markets. As a Data Analyst you must have a passion for data, accuracy and efficiency. This varied role is based within the Information Technology department, and working closely with the Broking department, to provide analytical support for presentation to Underwriters and Clients aiming to enhance performance and aid the placement of new and renewal business.


General Duties and Responsibilities

Production and presentation of statistical and data analysis relating to the performance of the business including distribution to Underwriters and Clients. To continually review and assess data to ensure the Department has all the information it requires, to ensure data is accurate and current. To liaise with Underwriters and Clients to enhance the performance of the business. To provide assistance to the Chief Broking Officer and Head of Broking as required in order to achieve the departmental objectives. Undertake special tasks and lead on small projects as agreed with your line manager. Clarity about such tasks and projects will be provided over time. Liaising with all internal departments to ensure data and reporting needs are met. Report any data and reporting issues immediately to the line manager or the Chief Innovation Officer. Evaluate emerging technologies by building analytical prototypes and solutions based on business requirements to enhance the analytical capabilities of the company.

Key Skills and Experience

Professional experience in Broker/Data Analytics role within London or Company Insurance Market (broking or syndicates). Degree with numerical/computing components or graduate calibre with strong experience. Excellent organisational skills and a track record of working in a team. Analytical minded and detail oriented with problem solving capabilities. Interpersonal, team building, written and verbal communication skills required. Advanced Microsoft Excel skills necessary. Tableau or relevant Business Intelligence presentation layer tool experience (e.g. QlikView, Domo or Microsoft Power BI) desirable. CII certification advantageous.

Benefits
This position is offered on a Permanent basis. Annual salary will be dependent on the skills and experience of the successful candidate. Annual leave - 25 days per year (plus bank holidays), increases with length of service. Health & Wellbeing – our offering includes private medical insurance for employees, their partners and their families, a Digital GP service and an annual allowance (currently £550) any activities which supports health and wellbeing. Hybrid and remote working – to support your work balance we have introduced hybrid working. You will be provided with support to work from home up to a maximum of three days per week. Flexible working hours – the opportunity to flex your working hours. Professional Qualification Support – (discretionary) financial support covering the cost of professional qualifications, including institute membership, exams, study materials and completion bonuses. Generous gender-neutral family leave policy - employees with 26 weeks’ continuous service at the Expected Week of Childbirth are eligible to receive 26 weeks full pay. Team fun – warm and social culture with regular get togethers.


Equal Opportunities
Bell and Clements are an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or parental status.
 

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed. If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for! 

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.

About Munich Re Follow Us

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 Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

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

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.