The role covers all aspects of
Assisting standard operational pricing tasks
Assisting in the development of pricing methods and tools
Assisting in P&M projects and studies
Standard operational pricing tasks: Under the supervision and guidance of senior staff (which can be located either in nearshore or onshore offices), the individual in this role will:
Perform standard operational pricing tasks related to data management (checking, capturing, reprocessing, importing) and modelling (loss model creation, data & indices assignment, modelling, calibration, blending, catastrophe accumulation)
Communicate and collaborate adequately within the nearshore team and with the onshore teams to ensure smooth renewal process following pricing/modelling guidelines
Contribute in annual studies, create standard dashboards, and develop and test new methods/tools
R&D activities: Assist P&C operations (Non-Cat R&D) to enhance SCOR’s understanding of risks and improve pricing and modelling models
P&M activities, processes and methods improvement:
Participate in the evaluation and enhancement of the P&M processes, workflows, methods, tools (xAct, vendor models, new tools, ...), identifying opportunities for automation, standardisation and streamlining to gain efficiency.
Projects:
Participate in projects, working closely with onshore teams and collaborating with P&C Operations and other stakeholders."
Help expand SCOR’s Analytical Capabilities:
Tools: develop code, support testing and maintenance, and collaborate with IT.
Data Analysis: extract insights from data to support decision-making within pricing / modelling teams, underwriting functions and management.
QualificationsRequired experience & competencies
Required experience:
No prior work experience is required
Strong mathematical, modelling, technical background, knowledge of digital technology
Knowledge in P&C lines of business and reinsurance underwriting is an advantage
Personal Competencies:
Highly motivated and driven individual who has the maturity to work with a diverse group of personalities.
Strong work ethics and ability to work in a rapidly changing and complex environment
Strong organizational and time management skills required
Effective communication and collaboration skills with effective interpersonal verbal and written skills to communicate with non-technical colleagues
Good analytical and problem-solving skills
Knowledge of Microsoft Office (Proficiency in Excel). SQL, GIS and Programming skills ideally in R or Python is a plus
Skills in data science, predictive modelling & analytics, machine learning, AI
Programming skills
Self-starter who finds creative solutions and brings positive attitude to address challenges
Required Education
Excellent academic qualifications including a minimum of a bachelor’s degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance.
An advanced degree (master’s or PhD) would be a plus.
Insurance qualifications or actuarial credentials are strongly preferred.
- English: B2 level (CECRL)
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.
Skills Required
- No prior work experience required
- Bachelor's degree in mathematics, actuarial science, statistics, physics, natural science, economics or finance
- Strong mathematical, modelling and technical background
- Proficiency in Microsoft Excel
- Effective communication and collaboration skills (verbal and written)
- Strong organisational and time management skills
- Good analytical and problem-solving skills
- Programming skills
- English level B2 (CECRL)
- Knowledge of P&C lines of business and reinsurance underwriting
- SQL skills
- GIS skills
- Programming in R or Python
- Skills in data science, predictive modelling, machine learning or AI
- Advanced degree (Master's or PhD)
- Insurance qualifications or actuarial credentials
- Experience with or willingness to learn xAct and vendor models
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.





