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- Tasks: Evaluate risk models and present findings to diverse audiences.
- Company: Leading firm in risk science with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team at the forefront of risk science and make a real-world impact.
- Qualifications: Degree in a relevant field and strong programming skills required.
- Other info: Collaborative environment with opportunities to attend industry conferences.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Key Responsibilities (including but not limited to):
- Performing and documenting model evaluation deep dives for areas of high peril materiality and abridged model evaluations for lower materiality regions.
- Keeping abreast of the latest scientific research and emerging technologies to inform novel approaches to developing business view of risk.
- Assisting the provision of relevant model evaluation materials for company reporting.
- Presenting results regularly to a wide range of audiences including clients, brokers, senior management and investors.
- Representing the company at national and international scientific and industry forums.
Qualifications required:
- A strong academic record, to degree level (2:1 or Higher or equivalent) and a higher degree (PhD) including a period of specific research with a focus in a risk sciences area such as meteorology, climatology, seismology, or hydrology.
Experience required:
- Strong proficiency in programming languages for data analysis (e.g. Python, R, SQL) with a strong preference for candidates who have hands-on experience applying machine learning or AI techniques to real-world problems.
- The ability to and interest in working collaboratively across different teams.
- Comfort in presenting both internally to senior management and investors and externally to clients or at industry or academic conferences.
- It would also be beneficial if you have a strong interest or knowledge of the key principles of commercial catastrophe models, climate models and the data and formats used in climate modelling.
Risk Scientist – 29283 in London employer: Emerald Group Ltd.
Contact Detail:
Emerald Group Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Scientist – 29283 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the risk sciences field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects, especially those using Python, R, or SQL. We all know that actions speak louder than words, so let your work do the talking!
✨Tip Number 3
Practice your presentation skills! Whether it’s for clients or senior management, being able to communicate your findings clearly is key. We recommend rehearsing with friends or even in front of a mirror to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our team in tackling real-world problems in risk science.
We think you need these skills to ace Risk Scientist – 29283 in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming prowess in Python, R, or SQL. We want to see how you've applied these skills in real-world scenarios, especially if you've dabbled in machine learning or AI techniques.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when you tailor your application to the role of Risk Scientist. Mention specific experiences that relate to model evaluation and risk sciences to catch our eye!
Keep It Clear and Concise: When writing your application, clarity is key! We appreciate well-structured documents that get straight to the point. Avoid jargon unless it’s relevant to the role, and make sure your passion for risk science shines through.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Emerald Group Ltd.
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest scientific research and technologies related to risk sciences. Brush up on your knowledge of meteorology, climatology, seismology, and hydrology, as these will be crucial in demonstrating your expertise during the interview.
✨Show Off Your Programming Skills
Be prepared to discuss your experience with programming languages like Python, R, and SQL. Bring examples of how you've applied machine learning or AI techniques to real-world problems, as this will showcase your practical skills and understanding of data analysis.
✨Practice Your Presentation Skills
Since you'll need to present findings to various audiences, practice explaining complex concepts in simple terms. Consider doing mock presentations to friends or colleagues to build your confidence and ensure you can communicate effectively with clients and senior management.
✨Collaborate and Connect
Highlight your ability to work collaboratively across different teams. Share examples of past experiences where teamwork led to successful outcomes, as this will show that you can thrive in a collaborative environment, which is essential for this role.
