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About the Role

The role holder is responsible for defining and leading the delivery of UKLB’s Predictive Analytics initiative to support growth across all its lines of business by developing predictive models and harnessing data driven insights to meet our 2030 ambitions.

Responsibilities

Define and deliver the Predictive Analytics roadmap to deliver data driven stakeholder value for UKLB and our clients.
Establish and lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes.
Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets, enhancing accuracy and efficiency to expand the overall Longevity business portfolio.
Support the development of Protection pricing bases by integrating predictive analytics and new data-driven techniques into modelling approaches, improving insight, and pricing robustness.
Management of our internal data pools, ensuring they are effectively maintained and leveraged to deliver maximum analytical and business value.
Identify potential solutions to support Protection Business Development on new propositions across underwriting, claims and distribution where Predictive Analytics can deliver new insights and solutions to reduce friction.
Conceptualise and offer analytics products and services to internal and external stakeholders along the whole value chain by using statistical methods, for example, GLMs / GAMs / Machine Learning.
Lead the creation and adoption of innovative analytical techniques, building tools and embedding them to strengthen data-driven decision making for Pricing purposes.
Development of culture, policies and strategy relating to predictive analytics for Pricing and Terms of Trade review.
Collaborate with cross-functional and regional teams to promote data-driven decision-making culture, and provide training and support to employees on data analytics best practices.
Establish and maintain robust data and analytics governance frameworks, policies, and procedures to ensure quality, security, and compliance with industry regulations.
Support the wider Basis Development team on their priorities and initiatives where required.

Requirements

Several years of experience in key aspects of data analytics within Life and Health reinsurance, including actuarial concepts, risk assessment, and pricing methodologies.
Deep expertise in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar Experience.
Effective written and spoken communication and senior stakeholder management.
Excellent communication and presentation skills
Ability to communicate technical concepts to different audiences.
Consulting or project management experience is a plus.
Flexibility and bringing a curious and creative mindset.
You are aware of your role (as a leader) in being able to influence your team structure and culture to promote principles of diversity and inclusion.
You strive to continuously educate yourself on best practice for inclusive leadership.
You demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well.
You support a culture in which high ethical conduct is recognised, valued and embodied by all
You treat everyone fairly and with respect.
You are responsible for recruiting new talent within your team, in addition to other people management responsibilities such as task management, providing regular feedback, having continuous conversations, development planning/career discussions etc.
You are also responsible for driving the performance of your team to meet the business’ strategic goals and objectives.
You will consider the impact on the wider business when planning and making decisions.
The development of your team is of significant importance to you, you embrace and promote development and act as a Talent Broker, continuously looking for opportunities for them to expand their skills, knowledge and experience.
You are seen as an expert in your field and will be the ‘go to’ person for your area of specialism within Munich Re.
You will be seen as a role model/mentor to others – identifying opportunities to share your knowledge with others.
Ensuring compliance with Munich Re’s Code of Conduct and the FCA Conduct Rules

Skills

Predictive Analytics
Data driven insights
Data analysis
Data interpretation
Advanced modelling techniques
Demographics
Mortality basis
Longevity
Protection pricing
Data manipulation
Statistical analysis
Predictive modelling
R
Python
SAS
Communication
Stakeholder management
Presentation skills
Technical concept communication
Consulting
Project management
Curious mindset
Creative mindset
Inclusive leadership
Ethical conduct
Talent management
Performance management
Data governance
Data analytics best practices
Digitalisation

Location

Munich

Work Type

Full-time

Experience Level

Senior
Several years of experience

Education Level

Qualified Actuary
Significant actuarial experience

Salary/Compensations

On target bonus

Benefits

25 days annual leave with the option to purchase more
Private medical insurance
Employers' contributory pension of 10%
Fully paid 6 months family leave

About the Company

With the office in Munich, it forms the Life 1 division of Munich Re.
The UK life market is one of the, if not the, most competitive life markets in the world.
Life insurers work in a dynamic market where medical progress, demographic trends and changing lifestyles are constantly giving rise to new risk landscapes.
This demanding situation is made even more challenging by changing laws and regulations and ever tougher competition.
UK & Ireland Life has three pillars to its business strategy: protection, longevity and reinsurance structuring.
Clients are trusted as experts of their business and provided with the financial strength of the world’s largest reinsurer, global expertise and sharp pricing so that they are both competitive and profitable.
We think big: Change and culture are continuously role-modelled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning
We care & dare: We are empathetic. We know when to lead and know when to let others lead. We attract, grow and coach future leaders
We communicate in a clear & authentic way: We interact with a positive and humble spirit. We solicit feedback, ask and listen, learn and unlearn
We grow with your clients: Whatever our role, we support business, in an efficient and effective way, to create value for our clients. We embrace new ways of working using digitalisation to deliver solutions
We lead the We: We have a passion for winning and growing as a team. We inspire people to be capable of joint performance. We create an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged.
At Munich Re, embracing the power of differences is at the core of who we are.
We believe diversity fosters resilience and innovation and enables us to act on our purpose of helping humankind act braver and better.
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.
We are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.

Equal Opportunity

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.