www.bhdu.cn-夜肉伦伦影院无码 ,国产精品www夜色视频,3d动漫精品啪啪一区二区免费,久久婷婷综合缴情亚洲狠狠

Job Summary:

We are seeking an experienced and innovative Data Scientist with 3+ years of hands-on experience to join our dynamic team.

As a Data Analyst specialising in Catastrophe Data Management, you will be responsible for designing the structure & managing the catastrophe data. Your role will involve providing regular datasets to Overseas General (COG) Catastrophe Management as well as Underwriting teams. You will also be involved in supporting multiple ad-hoc projects requiring a keen attention to detail and the ability to prepare/interpret and communicate results in an effective manner.

The ideal candidate will possess excellent analytical skills (knowledge of SQL is essential), a strong understanding of data management principles, strong commitment to professional growth and the ability to work collaboratively with cross-functional teams.

Key Responsibilities:

Requirements:

Bachelor's degree in a numerical/scientific field (e.g., Data Science, Mathematics, Statistics, Computer Science, etc.). Advanced degree preferred.

Fluency in English, both written and spoken, is mandatory.

Proven experience in data analysis and management, preferably in the insurance or catastrophe risk industry (industry experience is not mandatory).

Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R, Excel).

Experience with data visualisation tools and/or geospatial analytics tools (e.g. QGIS, ArcGIS) would be beneficial and will further enhance the candidate's ability to analyse and visualize catastrophe data, understand spatial patterns and relationships, and provide valuable insights for risk assessment and decision-making processes.

Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw meaningful insights.

Knowledge of catastrophe models (e.g. Moody’s RMS, AIR) and familiarity with catastrophe data sources is desirable.

Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.

Detail-oriented with exceptional organisational and time management abilities to handle multiple tasks and meet deadlines.

Strong teamwork and collaboration skills, with the ability to work effectively in a
cross-functional environment.