Key responsibilities include:

• Work with subject matter experts and researchers, build robust research and production pipeline for data and modeling process

• Ensure product quality

• Process automation

• Communicate across multiple partner teams on project planning and delivery

• Quantitative model implementation and deployment

Qualifications

• Degree in computer science, statistics, machine learning, applied mathematics, operation research or other quantitative disciplines; graduate degree and research experience are preferred

• 2 years of professional experience in a software engineering or machine learning operations team

• Working experience in at least one software engineering language (C++/Java/Go) and Python

• Working experience with Unix-like operating system and shell scripting

• Experience with SQL/NoSQL database, large datasets; experience with unstructured data is a plus

• Able to communicate and collaborate effectively in a diverse team environment

• Demonstrated ability to learn and adapt

• Passionate about sustainability issues and asset management industry

• Experience in climate science, energy system modeling, climate policy or energy policy is a plus

• Experience with financial and economic research and quantitative modeling is a plus

• Experience with statistics, machine learning, deep learning and NLP is a plus

• Experience with cloud platform and Cloud Native technology is a plus