The role covers all aspects of
Independently Executing standard operational pricing tasks
Proactively contributing to the development of pricing methods and tools
Leading and/or participating in / executing P&M projects and studies
Providing technical guidance and training staff
Standard Operational Pricing Tasks: The individual in this role will take the lead on the following tasks with a good level of expertise:
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)
Support and advise for the adequate communication and collaboration within the nearshore team and with the onshore teams to ensure smooth renewal process following pricing/modelling guidelines
Standard dashboard creation, Testing and development of new methods/tools
Work with R&D activities to improve SCOR’s view of risks and the pricing and modelling models, in close collaboration with P&C operations (Non-Cat R&D).
Participate in the development and sharing of knowledge across teams.
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, focus on the creation of innovative and tailor-made solutions adapted to the change in portfolio mix.
Projects:
Participate in projects, working closely with onshore teams and collaborating with P&C Operations and other stakeholders.
Lead projects.
Cross-functional communication:
Participate in the feedback loops with onshore teams, data & tech, claims, reserving, finance, accumulations to ensure accurate and timely information exchange, resolve issues and support business objectives
Help expand SCOR’s Analytical Capabilities:
Tools: develop code, support testing and maintenance, and collaborate with IT.
Functionalities: Consult stakeholders to ensure user feedback and findings following release of new tools are incorporated
Data Analysis: extract insights from data to support decision-making within pricing / modelling teams, underwriting functions and management.
Required experience & competencies
Leadership and managerial skills:
Providing some subject matter expertise, be a reference for the team on some specific topics
Ability to drive engagement via leading topics or projects
Good interpersonal skills with ability to work effectively with team members and a wide range of stakeholders.
Required experience:
Significant work experience in the financial services industry, preferably in reinsurance/insurance with a focus on analytical and/or actuarial work, for instance the development and structuring of reinsurance products, financial instruments, and pricing tools
Strong mathematical, modelling, technical background, expertise in 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
Advanced communication and collaboration skills with effective interpersonal verbal and written skills to communicate with non-technical colleagues
Advanced analytical and problem-solving skills
Sound knowledge of Microsoft Office (Proficiency in Excel). SQL, GIS and Programming skills ideally in R or Python.
Basic Skills in data science, predictive modelling & analytics, machine learning, AI
Professionnal Programming skills
Creative initiative-taker, dynamic and driven, who formulates new concepts, challenges the status quo
Strategic thinker, 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)
