Fm Research Scientist

Are you ready to dive into the thrilling world of climate science and make a tangible impact on global resilience? Join our world-class research team, where exciting technical challenges await as we tackle the pressing issues of weather and climate risks.

We currently have a fantastic opportunity for someone to join **FM Science and Technology APAC** as **Research Scientist - Climate Data Science for the Research Department** reporting to the **APAC Research Group Manager Climate Risk & Resilience**.

**Overview**

Exciting and interesting technical challenges await when you join a world-class research team dedicated to reducing the impact of weather and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, providing more than one-third of FORTUNE 1000 companies with engineering/science-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art engineering and research.

Climate risk is an identified area with increasing challenges in the next decades. To provide the best-in-class actionable science-based loss preparedness and prevention solutions to businesses, FM is making vast investments into climate research over the coming years, including the new Science and Technology Center EMEA in Luxembourg, from which the global Climate Risk and Resilience Research is being headquartered from and the expansion of the Science and Technology Center APAC in Singapore.

**Team**

You will be part of the growing Science and Technology Center APAC in Singapore and work with the global team of scientists that are located across the U.S., Singapore and Luxembourg. The team develops hazard models and knowledge around flood, wind, severe convective storms, wildfire, etc., to assess current and future impact on our insured and prospect assets.

**Opportunity**

Join our dynamic team at the Science and Technology Center APAC in Singapore, where you will play a pivotal role in shaping the future of climate risk and resilience. As a key member of our research team, you will be responsible for identifying, planning, and conducting groundbreaking research on extreme weather catastrophes impacting the Asia-Pacific (APAC) region.

This position is focused on the intersect of AI/ data and climate science, looking for opportunities to advance more classical numerical and hydrological model methodologies with the use of AI techniques to support the risk modelling of extreme weather, floods, and storm surge risks, both current and future. In addition, it offers the opportunity to support regional research initiatives and contribute to the team’s global Climate Risk & Resilience activities.

**Responsibilities**:

- Project and Research Management: Proven ability to manage projects and conduct research effectively.
- Educational Background: MSc in natural or data science specializing in Meteorology, Hydrology, Mathematics, Statistics, Physics, Geography or Geoinformation Systems.
- Data Handling: Proficient in collecting, processing, and analyzing large datasets.
- Advanced Statistical Analysis: Proficiency in statistical methods, including extreme value analysis and probabilistic modeling.
- Data Science Expertise: Strong background in data science techniques, including machine learning (ML) and artificial intelligence (AI) methods.
- Climate Science Knowledge: Understanding of meteorological and/ or hydrological processes, particularly related to tropical cyclones, synoptic-scale systems, extreme rainfall and/ or floods.
- Programming Skills: Experience writing shell scripts and using APIs for process automation, excellent programming skills in at least two programming languages including Python, R, Fortran, and/or Matlab.
- Communication Skills: Excellent oral and written communication and presentation skills.
- Teamwork and Multitasking: Ability to self-start, multitask, and thrive within a high-performance team environment.

**Desired Skills and Competency Areas**
- Education: PhD and a solid research record.
- Collaborative development and High-Performance Computing: Proficiency in utilizing Linux/ Unix clusters for high performance computing, along with experience in DevOps practices and cloud platforms such as AWS and Azure.
- Effectiveness in communicating highly technical and scientific insights to non-technical audiences.
- GIS Software: Competence in using GIS software and processing tools, including ArcGIS, QGIS, and GDAL.
- Machine Learning Models: Proven experience in developing machine learning models applied to geospatial or climate data.

**What We Offer**:

- Competitive salary and comprehensive benefits package.
- Opportunities for professional development and career growth.
- A dynamic, inclusive work environment that fosters innovation.
- The chance to work on impactful projects shaping the future of climate risk resilience.