Tackling climate change by developing novel neural reasoning capabilities to enable stakeholders to target their mitigation efforts
Requirements
- Strong knowledge of financial and probabilistic theory, as applied to financial markets
- 5 years experience with simulations of real-world phenomena (e.g., physical, biological, ecological, sociological)
- Understanding of decarbonization and carbon removal technologies, as well as carbon markets
- Fluent in Python, C++, SQL, databases, scripting, Matlab/R, SAS, and data visualization
- Strong knowledge of statistical or machine learning modeling techniques, including Large Language Models
- Experience in using distributed computing resources, such as GCP, AWS, Azure or HPC clusters
- Strong knowledge of LLMs, neural modeling, transformers, foundation models and simulation
Responsibilities
- Explore the potential of leading edge reasoning models to solve large-scale planning and optimization problems in collaboration with human experts
- Leverage neural/foundation modeling techniques to build models of and generative optimization algorithms for a wide range of real-world modeling tasks
- Translate expertise in neural modeling to the rest of the team and apply it to solve real-world engineering problems related to climate sustainability and the carbon economy
- Rapidly develop prototypes of artificial intelligence, machine learning models applied to sustainability and finance problems
- Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
- Develop value chain maps, evaluate costs and revenues to assess and recommend areas in which to de-risk the project
- Collaborate with X project team to experiment and build novel insights to finance, risk management, portfolio management, and derivatives valuation problems
Other
- Masters or PhD student in a STEM field (financial engineering, risk management, operations research, math/statistics or other quantitative field)
- Very strong strategy and analytical skills. Ability to gather and analyze large quantities of information, and turn them into insightful business recommendations
- Good at problem stating and problem solving, and turning ambiguous problem spaces into radical solutions
- Excellent communication skills i.e experience writing strategy docs, experience delivering presentations, and a general openness to liaise with senior external partners
- Motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen
