Job Summary

The role involves

·         Executing standard operational pricing tasks

·         Contributing to the development of pricing methods and tools

·         Participating 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 adequately and collaborate within the nearshore team and with the onshore teams to ensure smooth renewal process following pricing/modelling guidelines

·         Participate in annual studies, create standard dashboards, and develop and test new methods/tools

R&D activities:

·         Collaborate closely with P&C operations (Non-Cat R&D) to enhance company’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.

·         Lead small projects.

Help expand company’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.

·         Dataflows:  Maintain and streamline dataflows in Pricing & Modelling, P&C, and Group databases (PANEL, ARC Sandbox, Foundry)

Required experience & competencies

Some 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, good knowledge in 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

·         Sound knowledge of Microsoft Office (Proficiency in Excel). SQL, GIS and Programming skills ideally in R or Python.

·         Professional Skills in data science, predictive modelling & analytics, machine learning, AI

·         Professional 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)