
Quantitative Analyst, Climate Risk
We are looking for a passionate, motivated, and experienced Quantitative Analyst for Climate Risk to join the Bloomberg team. In this role, you will use your expertise in quantitative analysis to apply advanced analytics, data science, and machine learning to help us better understand and manage climate-related risks.The ideal candidate will have a deep knowledge of climate risk and related analytics, strong quantitative skills, and experience working with a variety of data sources. You will play a key role in helping us develop and implement models that assess the potential impact of climate-related events on the global economy and financial markets.We are looking for a creative problem-solver with excellent communication skills, who is comfortable working independently and collaboratively in a fast-paced environment. If this sounds like you, we want to hear from you!
Ability To Work Independently And Collaboratively
Familiarity With Financial Markets
Strong Mathematical And Statistical Background
Knowledge Of Climate Risk Data And Analytics
Excellent Problem-Solving Skills
Proficiency In Programming Languages Such As Python And R
Understanding Of Climate Risk Assessment And Mitigation
Demonstrated Ability To Communicate Complex Concepts Effectively
Financial Analysis
Programming
Data Analysis
Excel
Machine Learning
Artificial Intelligence
Regression analysis
Optimization
Risk Analysis
Modeling
Mathematics
Statistics
Monte Carlo simulation
Scenario Analysis
Climate Analysis
Communication
Leadership
Time management
Interpersonal Skills
Organization
self-motivation
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Analyst, Climate Risk in New York, NY, USA is between $104,000 and $155,000 per year. Salaries can vary depending on experience, education, industry, and other factors.
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Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.

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