Pricing Analyst in Bucuresti

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)
  • Contact

    Datele de contact vor fi vizibile dupa ce veti aplica!

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