Portfolio Monitoring Analytics Lead (London, GB)

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Corporate Title: Vice President

Division: BHK-CUO L&H Reinsurance (51004033)

Department: BHKU-Portfolio Steering & Monitoring (51004039)

Recruiter: Zuzana Noskova

Hiring Manager: Wendy Wang

Copy the below link to share this job posting with your coworkers: https://performancemanager.successfactors.eu/sf/jobreq?jobId=133458&company=SwissRe

Join a diverse global team to develop intuitive yet powerful tools to enable L&H colleagues to understand and manage their in-force portfolio performance, and ultimately strengthen Swiss Re's underwriting performance.

About the Role

Primary responsibilities to focus on implementation of L&H Smart Circles and drive ongoing expansion in L&H portfolio monitoring analytics:

Identify use case, define business requirements and work with data & tech team to develop new portfolio monitoring capabilities

Strive for continuous enhancement in coverage, reliability and capability in portfolio monitoring tools

Drive change management and user adoption of portfolio monitoring tools, engaging and instilling excitement across target user groups in all markets globally

Define and/or build strategic linkages between distinctive data domains in order to generate new insights

Enhance L&H data quality via identifying gaps in upstream operational processes, and feedback to COO

Develop best practice or operating guidelines to complement monitoring tools and enable appropriate interpretation of signals

About the Team

L&H Portfolio Steering and Monitoring is a global function with the core mandate to generate insights and connect our business to proactively steer L&H Re in delivering sustainable profit.

About You

Qualified or near qualified actuary with minimum 10 years experience in life re/insurance

Flexibility to adapt quickly to changing priorities with high agility for learning new tools/techniques

Storytelling and ability to influence technical and non-technical stakeholders

Critical thinking and problem-solving skills

Analytical skills incl data transformation, cleaning, visualisation and insights generation

Expert knowledge of data flow and system landscape in Valuation, Operations and/or Finance

#Li-Hybrid

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled. During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

Keywords: Reference Code: 133458

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