About UK Life Branch

With the office in London, it forms the Life 1 division of Munich Re. The UK life market is one of the most competitive life markets in the world. We understand that Life insurers operate in a dynamic market where medical progress, demographic trends and changing lifestyles continually create new risk landscapes. This demanding environment is further challenged by changing laws and regulations and tougher competition. We need a smart strategy and structure to succeed.

About the role

Working within the UK Data Management Team, responsible specifically for LH1 Valuation Data, you will work with our Lead Analysts to ensure data updates and delivery of LH1 Valuation Data.

This includes responsibility for and oversight of translating and validating client data, producing CLR-ready Valuation Portfolio data, and generating data analysis and reports for internal clients (Valuation team) regarding valuation portfolio data.

Key Responsibilities

Develop data transformation scripts to produce Valuation portfolio data.
Data cleansing, profiling, mapping and mining of Valuation portfolio data.
Support and deliver multiple ad-hoc reporting needs for internal clients regarding the Valuation portfolio data.
Support business requirement gathering activities, especially on data and reporting needs related to valuation portfolio data and how they will be utilised in wider process improvements/projects.
Ensure client data used for Valuation portfolio delivery is stored in a consistent format and in line with treaty arrangements.
Support processes and tools used in the team for the Valuation portfolio delivery.
Determine, monitor and report the availability, quality and consistency of client data used in Valuation Portfolio deliveries.
Liaise with internal clients to understand data content, maximise benefits to the business, and address any weaknesses.
Gather, understand and document detailed data requirements using appropriate tools and techniques, and ensure these are agreed at all levels throughout the business.
Manage own work priorities and work in an organised way.
Manage colleagues' expectations.
Ensure data used in different work streams is of good quality and up to date.
Work independently or collaboratively with colleagues.
Produce quality written and numerical material appropriate to purpose.

Competencies

Business Acumen (we think big) - You understand the business ambition, your team's commitments and how your role contributes to this.
Plans and aligns (we lead the 'we') - You plan and prioritise your work to fit deadlines and longer-term commitments, and collaborate with others, encouraging diversity of thought.
Action oriented (we grow with our clients) - You take on new tasks and challenges with a keen interest; you look for ways to improve efficiencies and effectiveness.
Self-development (we care and dare) - You demonstrate enthusiasm by seeking new ways to grow and be challenged through development opportunities.
Communicating Effectively (we are clear and authentic) - You listen to others, seek regular feedback to develop, and communicate effectively and ask for support when unsure.

Key Skills & Experience

Essential:

Data processing/handling and data analysis skills.
SQL scripting, R, Python, Power BI, Advanced MS Excel (can perform complex functions).
High level of numerical and analytical skills.
Ability to investigate data issues, perform cost-benefit analysis and resolve.
Remote working setup.

Desirable:

Understanding of Insurance / Reinsurance Business.
Experience working with relational databases (Oracle, SQL, etc).

Personal Attributes:

Communicates clearly and effectively, with a solution-focused mindset.
Ability to take responsibility for delivery of client requirements.
Strong organisational skills with the ability to manage multiple responsibilities and adapt priorities as needs evolve.

Desired Qualifications and Educational Background

A Level in Computer Science / Computing / Mathematics / Business Studies (or related subject or relevant equivalent).
Qualified or working towards a degree/apprenticeship in Computer Science / Data Analysis (or relevant equivalent).

Benefits

You will be rewarded with a competitive compensation package, on-target bonus, 25 days of annual leave (with the option to purchase more), private medical insurance, and an employers' contributory pension of 10%. We are one of the few employers to offer fully paid 6 months family leave for times when you need it most.

Diversity, Equity & Inclusion

At Munich Re, embracing diversity is core to who we are. We believe diversity fosters resilience and innovation and enables us to help humankind act braver and better. We strive to build a diverse workforce that includes a wide range of identities, backgrounds, and experiences, and we are committed to an equitable and inclusive work environment where diversity is celebrated 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 by speaking to your Talent Acquisition contact.

You will demonstrate and role model inclusive behaviour and encourage colleagues to contribute to an inclusive culture. You will treat colleagues and partners with fairness and respect.

Münchener Rückversicherungs-Gesellschaft

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