Assisting standard operational pricing tasks
Assisting in the development of pricing methods and tools
Assisting in P&M projects and studies
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. Qualifications
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 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 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. About Us
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.
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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. Qualifications
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 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 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. About Us
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.
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