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

Key duties and responsibilities

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.

Required 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)