P&C Performance Data Assistant InternSCOR

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying 'The Art & Science of Risk,' SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by 'The SCOR Way.' Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Support P&C Senior Insight Expert in Finance Data Strategy projects. Role involves data validation, project management, and coordination to ensure milestones are completed for the new Finance Platform foundation.
As a Performance Data Assistant in our P&C Performance department, you will be at the forefront of transforming data into actionable insights.
Your role will involve supporting the P&C Senior Insight Expert in the implementation of sophisticated tools based on data-driven solutions, and collaborating with cross-functional teams to optimize current processes and enhance the decision-making processes.
You will contribute to the transformation of the quarterly Financial Landing Process, enhance the Analytics capabilities of the team, and participate to projects with strong value added.
You will leverage your quantitative techniques and technical skills to develop insightful tools, dashboards and features that will be used to draw finance analytics, study business trends to help to monitor underwriting and financial activities via different dashboards and metrics.
Responsibilities
Contribute to P&C Finance Analytics projects
* Contribute to the team efforts to transform the Finance analytics to be consistent around the different needs of entities and the smart cycle to establish consistent framework, tools and deliverable for P&C finance analytics.
* Develop tools and dashboard based on Foundry, Databricks and your knowledge in SQL, Python (if any) for P&C Finance features and tools.
* Collaborate with business and finance stakeholders to understand their needs and deliver customized solutions.
* Develop solutions for data-driven business &finance insights and advanced analytics (possibly including machine learning) and support automatization initiatives in P&C Performance.
* Testing & Validation of data and features
* User feedback processes, improve tools and propose client-centric solution.
Collaboration with the Data Team
* Find the best possible solution in Foundry to develop and maintain own data pipelines for ingesting, processing, and transforming large datasets.
* Optimize data storage in Databricks and retrieval mechanisms to ensure efficient access to relevant information.
* Work closely with Data teams to integrate data sources and ensure data quality.
* Design business requirements to help the Data Team to develop features in line with the performance framework
* Document foundation and data strategic choices
Support the P&C Performance Team in the Landing and Analytics process
* Support the P&C Performance Team in Landing Ad-hoc needs (IFRS 17 &Solvency II)
* Support the P&C Performance Team in the analysis of quarter close figures, prepare deliveries for quarterly analytics (including deliverables to top Management), analyze the business and discuss with key stakeholders to understand underwriting trends, finance decision or data particularities.
* Support on IFRS4 and IFRS17 ad-hoc questions
Qualifications
Experience
* First experience in quantitative analysis (internship or academic project) required - Excel, Python, SQL
* Experience with data tools such as Databricks, Tableau or other SQL-based software is a plus
* Exposure to applying data science in a business context is an asset
* Experience with Foundry would be a strong advantage
Personal Competencies
* Ability to manage multiple projects simultaneously and prioritize effectively
* Comfortable working in an innovative environment and empowering decision-making
* Proactive, self-starter mindset with ability to identify opportunities
* Strong communication skills with a solution-oriented approach
* Curious, creative and analytical thinker
* Strong organizational skills and ability to meet deadlines
* Ability to work both independently and collaboratively in a team
* Results-driven with strong attention to quality
* Excellent interpersonal skills
Soft Skills
* Flexible, proactive and rigorous
* Ability to adapt to a demanding and fast-paced environment
Digital Competencies
* Proficiency in Microsoft Office (mandatory)
* Strong interest in technology and data tools
* Knowledge or interest in Palantir or AI is a strong plus
Education
* Master's degree in Computer Science, Applied Mathematics or related fields (or equivalent experience)
* Business School with strong interest in Data
* Master's degree in Actuarial Sciences is a plus

Values
And most important, can embrace the SCOR Values: We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.